1 00:00:05,360 --> 00:00:08,440 Speaker 1: Hey, this is Annie and Samantha and welcome to Stephane. 2 00:00:08,480 --> 00:00:20,400 Speaker 1: Never told your protection of I Heart Radio. Today it 3 00:00:20,520 --> 00:00:24,120 Speaker 1: is time for another female first, which means we are 4 00:00:24,360 --> 00:00:29,960 Speaker 1: once again joined by our friend and co worker Eves. Hello. Eve, Hello, Yeah, Eves. 5 00:00:30,240 --> 00:00:33,599 Speaker 1: What's that's up? Mm hmm, what's up? We just had 6 00:00:33,640 --> 00:00:37,960 Speaker 1: a very rousing conversation about Urban Lessons the movie and 7 00:00:38,000 --> 00:00:40,600 Speaker 1: now I yes, the movie you and now I'm very, 8 00:00:40,760 --> 00:00:44,479 Speaker 1: very determined to see it. It took ease to convince you, 9 00:00:44,520 --> 00:00:47,040 Speaker 1: because when I was saying it, I was like, uh, 10 00:00:47,200 --> 00:00:50,200 Speaker 1: it's bad. Yeah, yeah, I don't think. I said, uh, 11 00:00:50,520 --> 00:00:55,680 Speaker 1: you might, you can do without it. I think that 12 00:00:55,720 --> 00:00:58,320 Speaker 1: it was a fair point about it being like, uh, 13 00:00:58,360 --> 00:01:00,960 Speaker 1: they tried to be screamed, but it didn't. They all brands. 14 00:01:01,480 --> 00:01:03,279 Speaker 1: When I was watching it, I was also thinking that 15 00:01:03,320 --> 00:01:07,320 Speaker 1: it was a very very uninspiring version of seven just 16 00:01:07,360 --> 00:01:11,319 Speaker 1: because of the theme. I mean, it wasn't the topic, 17 00:01:11,680 --> 00:01:14,080 Speaker 1: the plot or anything like that, just just the basis 18 00:01:14,200 --> 00:01:18,520 Speaker 1: of like having the killer be a person who followed 19 00:01:18,520 --> 00:01:23,360 Speaker 1: this very specific um thing that was urban legends. And 20 00:01:23,400 --> 00:01:28,200 Speaker 1: I think that's fun already because urban legends are like 21 00:01:29,120 --> 00:01:32,440 Speaker 1: just like a fascinating thing that I mean because they 22 00:01:32,440 --> 00:01:34,800 Speaker 1: are urban legends, that's what they are. There, men spread 23 00:01:35,000 --> 00:01:38,240 Speaker 1: and nobody knows whether they happen or not. Um. But yeah, 24 00:01:38,280 --> 00:01:40,560 Speaker 1: it's a fun time. Like I would recommend watching it 25 00:01:40,640 --> 00:01:45,640 Speaker 1: once and never again. Such a specific review. I was 26 00:01:45,640 --> 00:01:48,040 Speaker 1: gonna say, the female lead and that one, and she's 27 00:01:48,040 --> 00:01:52,520 Speaker 1: actually in Supernatural. She's the woman who avenges her daughter. 28 00:01:53,960 --> 00:01:59,560 Speaker 1: Oh kills all the angels trying to avenge. It's her 29 00:01:59,760 --> 00:02:01,800 Speaker 1: And and I couldn't remember where I had new yor firm. 30 00:02:01,880 --> 00:02:04,520 Speaker 1: This is my things. I connect people from different movies 31 00:02:04,520 --> 00:02:06,880 Speaker 1: to different shows. I love that. Yeah I did that. 32 00:02:07,000 --> 00:02:08,799 Speaker 1: I did that with I did that with like three 33 00:02:08,840 --> 00:02:10,560 Speaker 1: people in that movie. I was like, oh my gosh, 34 00:02:10,560 --> 00:02:13,520 Speaker 1: that person looked so familiar, so familiar. Because I'm already 35 00:02:13,600 --> 00:02:17,440 Speaker 1: bad at I'm really bad at remembering faces and putting 36 00:02:17,440 --> 00:02:19,840 Speaker 1: faces with names. I can't. I'm not that great remembering names, 37 00:02:19,880 --> 00:02:22,960 Speaker 1: so I'm the same way. Obviously, I don't know her name. 38 00:02:23,000 --> 00:02:24,560 Speaker 1: I just know what she was in. I can tell 39 00:02:24,600 --> 00:02:27,560 Speaker 1: you what other stuff she has been and that's about it. 40 00:02:27,760 --> 00:02:29,320 Speaker 1: But yeah, I was doing that. I was like, that 41 00:02:29,360 --> 00:02:31,440 Speaker 1: person is on that, oh, and that person is on that. 42 00:02:32,080 --> 00:02:33,880 Speaker 1: But I was doing that again with Urban Legends, because 43 00:02:33,880 --> 00:02:38,240 Speaker 1: we said Naxima girl, that's my reference for the if 44 00:02:38,240 --> 00:02:44,280 Speaker 1: you don't know, uh, the villain. Yeah, oh wait, I knew. 45 00:02:44,720 --> 00:02:47,160 Speaker 1: I was about to say, like, I've never seen this movie, 46 00:02:47,320 --> 00:02:49,600 Speaker 1: but I remember the cover in the description because I 47 00:02:49,639 --> 00:02:51,280 Speaker 1: was just telling Eaves there was like a point, a 48 00:02:51,320 --> 00:02:53,000 Speaker 1: turning point in my life where I tried to buy 49 00:02:53,080 --> 00:02:54,720 Speaker 1: Urban Legends when I was nine years old. My mom 50 00:02:54,720 --> 00:02:56,520 Speaker 1: made me turn it back in, so I never got 51 00:02:56,600 --> 00:02:59,400 Speaker 1: to see it. Um and I remember thinking it was 52 00:02:59,480 --> 00:03:04,560 Speaker 1: her just from that briefly, you know, I bet she did. Yeah, 53 00:03:04,600 --> 00:03:07,760 Speaker 1: it's a good laugh. It's a good laugh. It's not 54 00:03:07,840 --> 00:03:10,200 Speaker 1: that scary, sir. If you're looking for an actual scare, 55 00:03:10,600 --> 00:03:13,480 Speaker 1: there's some gory stuff I guess right air, but it's 56 00:03:13,560 --> 00:03:17,280 Speaker 1: not truly scary. It's just mostly funny. I feel like 57 00:03:17,280 --> 00:03:20,640 Speaker 1: those are all those little slash reflex though. Yeah, really scary. 58 00:03:20,680 --> 00:03:24,000 Speaker 1: They just kind of they chase each other. Yeah, pretty 59 00:03:24,080 --> 00:03:26,560 Speaker 1: much them. Yeah, some of them can be pretty scary. 60 00:03:26,600 --> 00:03:29,440 Speaker 1: But I I love this. I feel like Sminty reviews 61 00:03:30,320 --> 00:03:33,239 Speaker 1: bad Horror Movie. It should be a new segment. Definitely. 62 00:03:33,800 --> 00:03:35,920 Speaker 1: I am here that I was gonna say it easy 63 00:03:35,920 --> 00:03:39,320 Speaker 1: will be a part of that as well. So every 64 00:03:39,320 --> 00:03:42,280 Speaker 1: female first from now on starts with the mini review. 65 00:03:43,120 --> 00:03:46,000 Speaker 1: I have a bad horror movie, but yes, we are 66 00:03:46,080 --> 00:03:49,400 Speaker 1: here to talk about female first. Who did you bring 67 00:03:49,680 --> 00:03:54,560 Speaker 1: for us Today's Today we're talking about Kna Yasui. Sokna 68 00:03:54,680 --> 00:03:58,880 Speaker 1: Yasui is the first Japanese woman to earn a doctorate 69 00:03:59,080 --> 00:04:04,160 Speaker 1: in science. UM. So that is also like, as we 70 00:04:04,200 --> 00:04:07,240 Speaker 1: always put disclaimers at the top of it, um, something 71 00:04:07,320 --> 00:04:11,360 Speaker 1: that is like the history of education and women's education 72 00:04:11,600 --> 00:04:13,680 Speaker 1: in Japan is very long and detailed, and of course 73 00:04:13,680 --> 00:04:15,480 Speaker 1: we won't be able to get into all of that today, 74 00:04:15,520 --> 00:04:17,520 Speaker 1: but just like I think there are a lot of 75 00:04:17,560 --> 00:04:19,560 Speaker 1: first that I've come across that are kind of like 76 00:04:19,560 --> 00:04:21,560 Speaker 1: the first person to get a PhD. And the first 77 00:04:21,560 --> 00:04:23,840 Speaker 1: person to get a doctorate in this thing, or the 78 00:04:23,839 --> 00:04:26,080 Speaker 1: first person to get a bachelor's degree. And obviously a 79 00:04:26,080 --> 00:04:28,760 Speaker 1: lot of that is centered around Western education, and a 80 00:04:28,800 --> 00:04:31,720 Speaker 1: lot of these things happened after Western education evolved in 81 00:04:31,920 --> 00:04:34,360 Speaker 1: Eastern countries, and this is one of those cases when, 82 00:04:35,160 --> 00:04:39,240 Speaker 1: as a lot of sources will put it, um, Japan 83 00:04:39,320 --> 00:04:42,360 Speaker 1: was quote unquote modernizing. I don't technically like, I don't 84 00:04:42,400 --> 00:04:46,600 Speaker 1: really like that phrasing. But just as you know, western 85 00:04:47,279 --> 00:04:50,680 Speaker 1: um education was coming to Japan. UM. This is one 86 00:04:50,680 --> 00:04:53,400 Speaker 1: of those cases as well. And so Kno Yahsui was 87 00:04:53,480 --> 00:04:55,560 Speaker 1: the first woman to earn a doctorate in science, and 88 00:04:55,640 --> 00:04:58,000 Speaker 1: she put in a lot of work. Um, she wrote 89 00:04:58,040 --> 00:05:00,480 Speaker 1: a lot of papers, and she did a lot research 90 00:05:00,839 --> 00:05:05,240 Speaker 1: and UM there were other people who had gotten bachelor's 91 00:05:05,240 --> 00:05:08,479 Speaker 1: degrees and then there were people after her um to 92 00:05:08,520 --> 00:05:12,720 Speaker 1: continue to get doctorate degrees in science. But there were barriers, 93 00:05:12,839 --> 00:05:16,760 Speaker 1: there were cultural changes happening at the time. And that's 94 00:05:16,800 --> 00:05:18,880 Speaker 1: the story. Yeah, that's that's the story that we're going 95 00:05:18,920 --> 00:05:22,000 Speaker 1: to get into today. Yes, And you know, one of 96 00:05:22,040 --> 00:05:25,240 Speaker 1: my favorite things about this story is, and I mean 97 00:05:25,240 --> 00:05:27,800 Speaker 1: this as the highest compliment I truly do, but I 98 00:05:27,839 --> 00:05:30,680 Speaker 1: love when people specialize in things that are so specific 99 00:05:31,080 --> 00:05:34,919 Speaker 1: you've never really thought about, Like, oh, I'm writing a 100 00:05:34,920 --> 00:05:38,000 Speaker 1: a d page essay on the mold that grows on 101 00:05:38,040 --> 00:05:39,960 Speaker 1: the turtle shell if you leave it in a cave 102 00:05:40,440 --> 00:05:42,880 Speaker 1: ninety days or whatever. I'm like, this is the best. 103 00:05:43,720 --> 00:05:47,280 Speaker 1: I'm so glad that someone is passionate about this. I mean, 104 00:05:47,440 --> 00:05:50,360 Speaker 1: with her specially discovered so many things, so going. But yeah, 105 00:05:50,360 --> 00:05:52,680 Speaker 1: it definitely reminded me of coming into science class and 106 00:05:52,800 --> 00:05:56,279 Speaker 1: talking about photosynthesis, and I'm like, what, what's what's happening? Who? 107 00:05:56,600 --> 00:05:59,160 Speaker 1: Who did this? What? I was thinking back to all 108 00:05:59,200 --> 00:06:02,040 Speaker 1: of those times, um in the past where they would 109 00:06:02,040 --> 00:06:03,919 Speaker 1: have science fairs in school and you would have a 110 00:06:03,920 --> 00:06:06,919 Speaker 1: little trifle boards and try to an experiment, and I 111 00:06:06,960 --> 00:06:09,480 Speaker 1: remember kind of being I don't know if force is 112 00:06:09,520 --> 00:06:12,800 Speaker 1: the right word, but like really feeling obligated to do 113 00:06:12,839 --> 00:06:16,000 Speaker 1: those science fairs, even though science wasn't a thing that 114 00:06:16,040 --> 00:06:18,840 Speaker 1: I really, you know, was that into or cared that 115 00:06:18,920 --> 00:06:21,520 Speaker 1: much about experimentation in But I guess you know, you're 116 00:06:21,560 --> 00:06:25,600 Speaker 1: experimenting yourself when you're in those years and trying different 117 00:06:25,720 --> 00:06:28,880 Speaker 1: topics and and feels that you might want to go into. 118 00:06:29,000 --> 00:06:31,279 Speaker 1: But all of us to say to that, I mean, 119 00:06:31,720 --> 00:06:35,960 Speaker 1: I don't I don't really understand what Kono Yasui was doing. 120 00:06:36,120 --> 00:06:40,080 Speaker 1: Like a lot of that that's all foreign to me. 121 00:06:40,839 --> 00:06:44,880 Speaker 1: Um So, I mean all of those research papers, all 122 00:06:44,920 --> 00:06:47,360 Speaker 1: of that is a lot more detail than I actually understand. 123 00:06:48,200 --> 00:06:50,560 Speaker 1: Oh no, you're telling me, you're not going to explain 124 00:06:52,680 --> 00:06:54,560 Speaker 1: I have so many doctorate papers out there. You're not 125 00:06:54,560 --> 00:06:57,120 Speaker 1: going to read the mountain cell. It's like dissected one 126 00:06:57,120 --> 00:07:00,360 Speaker 1: of the things. I am absolutely not. You just have 127 00:07:00,480 --> 00:07:02,040 Speaker 1: the You just gave me a moment where I had 128 00:07:02,040 --> 00:07:04,960 Speaker 1: a flashback to one of my science fars projects where 129 00:07:05,040 --> 00:07:07,479 Speaker 1: I didn't know what to do. So my teacher gave 130 00:07:07,520 --> 00:07:11,240 Speaker 1: me these pe shoot plants and I'll talk about radiation 131 00:07:11,400 --> 00:07:13,960 Speaker 1: and UV lights and I cannot remember to this day 132 00:07:14,000 --> 00:07:17,080 Speaker 1: what it was. But I won. I don't want and 133 00:07:17,160 --> 00:07:19,960 Speaker 1: then the plants died. You're welcome. That's the whole story. 134 00:07:20,000 --> 00:07:21,600 Speaker 1: I can't remember what it was. I don't know what 135 00:07:21,680 --> 00:07:23,480 Speaker 1: I did. I just remember they were like, this is 136 00:07:23,520 --> 00:07:28,360 Speaker 1: a kid, do it? Hey? You won. That was a 137 00:07:28,400 --> 00:07:31,240 Speaker 1: real roller coaster emotion. You're You're welcome because I still 138 00:07:31,600 --> 00:07:33,280 Speaker 1: like I just had a flashback up and two I 139 00:07:33,280 --> 00:07:36,480 Speaker 1: was like, what was that? Yeah, but this is what 140 00:07:36,520 --> 00:07:39,040 Speaker 1: this flinds me of. See. I loved science and I 141 00:07:39,080 --> 00:07:42,200 Speaker 1: love science fairs and I was really competitive, but I 142 00:07:42,280 --> 00:07:44,720 Speaker 1: no joke. On more than one occasion I went to 143 00:07:44,920 --> 00:07:47,400 Speaker 1: two projects instead of one because I would get so 144 00:07:47,480 --> 00:07:50,160 Speaker 1: enthusiastic and I would get disqualified because and then one 145 00:07:50,200 --> 00:07:52,440 Speaker 1: of them would win, and they'd be like, if only 146 00:07:52,480 --> 00:07:55,600 Speaker 1: you hadn't been disqualified, this would have been the winner. 147 00:07:55,760 --> 00:07:59,640 Speaker 1: Like I have some memories. So wait, you were because 148 00:07:59,680 --> 00:08:01,320 Speaker 1: you did too, and put both of those things in 149 00:08:01,320 --> 00:08:04,080 Speaker 1: a fair like you couldn't have more than one? Yeah, 150 00:08:04,120 --> 00:08:10,240 Speaker 1: only why is that? Everybody? Yeah, everyone else could have 151 00:08:10,240 --> 00:08:15,640 Speaker 1: done too. I was stopping him as a person who 152 00:08:15,720 --> 00:08:20,160 Speaker 1: did when but barely did her own project. Oh wow, 153 00:08:20,520 --> 00:08:23,680 Speaker 1: I love that you're coming at me with this project. 154 00:08:23,760 --> 00:08:29,960 Speaker 1: You can't remember because you one? All right, anyway, results 155 00:08:29,960 --> 00:08:35,079 Speaker 1: two blows. Let's get into Let's get into the story here, okay, 156 00:08:35,280 --> 00:08:37,240 Speaker 1: So we'll take it all the way back to when 157 00:08:37,720 --> 00:08:41,160 Speaker 1: Yasui was born, which was in eighteen eighty and sambo Matsu, 158 00:08:41,240 --> 00:08:45,360 Speaker 1: which was a port tongue in Kagawa Prefecture. She was 159 00:08:45,400 --> 00:08:47,840 Speaker 1: one of nine children, and she grew up in the 160 00:08:47,880 --> 00:08:51,720 Speaker 1: Meiji Era, which was the period in Japanese history from 161 00:08:51,720 --> 00:08:56,160 Speaker 1: eighteen sixty eight to nineteen twelve. And like I said earlier, 162 00:08:56,200 --> 00:08:58,760 Speaker 1: this was a time where there was a lot of political, economic, 163 00:08:58,920 --> 00:09:02,680 Speaker 1: and social chain happening, a lot of upheaval, a lot 164 00:09:02,720 --> 00:09:06,280 Speaker 1: of reform was happening um that was influenced by the West, 165 00:09:06,880 --> 00:09:10,760 Speaker 1: and education was made compulsory, and the feudal system of 166 00:09:10,800 --> 00:09:13,840 Speaker 1: government was abolished, and there were all of these big 167 00:09:13,880 --> 00:09:16,319 Speaker 1: major changes happening, that was affecting the way that people 168 00:09:16,360 --> 00:09:18,280 Speaker 1: were operating in their day to day lives, that was 169 00:09:18,320 --> 00:09:22,480 Speaker 1: affecting the hierarchies that were in place, and was affecting 170 00:09:22,480 --> 00:09:24,720 Speaker 1: the way that people were interacting with each other as well. 171 00:09:25,520 --> 00:09:29,600 Speaker 1: And education was a big part of this in those changes. 172 00:09:29,920 --> 00:09:33,680 Speaker 1: And from a young age, kon Yasi herself was really 173 00:09:33,720 --> 00:09:36,840 Speaker 1: interested in academic study and her parents would encourage that 174 00:09:36,920 --> 00:09:41,080 Speaker 1: as well, and early on her father gave her this 175 00:09:41,200 --> 00:09:44,360 Speaker 1: book called An Encouragement of Learning, which was a book 176 00:09:44,400 --> 00:09:48,760 Speaker 1: by Yukichi Fukuzawa, and Fukuzawa was an influential thought leader 177 00:09:48,800 --> 00:09:51,360 Speaker 1: at the time. He wrote a bunch of stuff. People 178 00:09:51,400 --> 00:09:55,760 Speaker 1: followed his writings in nineteenth century Japan, and he wrote 179 00:09:55,760 --> 00:10:00,600 Speaker 1: about things like education, like equality, and other social and 180 00:10:00,640 --> 00:10:04,920 Speaker 1: political topics, and he was an advocate of reform and 181 00:10:05,000 --> 00:10:08,960 Speaker 1: he brought Western ideas to Japan. Um he found at 182 00:10:09,000 --> 00:10:12,640 Speaker 1: Kao University in Tokyo, and in the eighteen sixties he 183 00:10:12,720 --> 00:10:16,720 Speaker 1: reorganized the school to really focus on Western studies, and 184 00:10:16,760 --> 00:10:20,280 Speaker 1: so An Encouragement of Learning is the seventeen volume series 185 00:10:20,320 --> 00:10:24,200 Speaker 1: that in which he emphasized the importance of education and 186 00:10:25,600 --> 00:10:29,120 Speaker 1: put in there some sort of rejections of the contemporary 187 00:10:29,160 --> 00:10:32,760 Speaker 1: social hierarchies that were in place. And he also and 188 00:10:32,840 --> 00:10:37,520 Speaker 1: it argued that education was key to gaining personal independence 189 00:10:37,600 --> 00:10:46,800 Speaker 1: and international independence. So uh very indicative of the thought 190 00:10:46,800 --> 00:10:49,320 Speaker 1: patterns and the changes that were happening in the society 191 00:10:49,320 --> 00:10:52,840 Speaker 1: at the time. And Yester he was also interested in 192 00:10:53,360 --> 00:10:57,880 Speaker 1: Japanese and Chinese history. So she did well in school overall, 193 00:10:57,960 --> 00:11:02,560 Speaker 1: but some of her favorite topics were mass in science. 194 00:11:04,200 --> 00:11:10,360 Speaker 1: In she enrolled at the Tokyo Women's Higher Normal School. 195 00:11:10,440 --> 00:11:13,240 Speaker 1: That that school changed names a few times over the 196 00:11:13,240 --> 00:11:15,520 Speaker 1: course of his existence, but she was a science major, 197 00:11:16,320 --> 00:11:20,000 Speaker 1: and she graduated in nineteen o two and began teaching 198 00:11:20,160 --> 00:11:23,240 Speaker 1: at a girls school. So a few years later she 199 00:11:23,280 --> 00:11:26,840 Speaker 1: became the only science research student UM when the new 200 00:11:26,960 --> 00:11:30,240 Speaker 1: research department was established at the Women's Higher Normal School, 201 00:11:31,160 --> 00:11:32,920 Speaker 1: and she was this is this is when you start 202 00:11:32,960 --> 00:11:39,000 Speaker 1: getting the stuff that I understand. I am not well 203 00:11:39,120 --> 00:11:43,000 Speaker 1: versed in um animal anatomy or a or biology already 204 00:11:43,000 --> 00:11:44,760 Speaker 1: in those things. But she was encouraged to study the 205 00:11:44,760 --> 00:11:48,600 Speaker 1: carp's Waberian apparatus. So the Liberian apparatus is a group 206 00:11:48,679 --> 00:11:51,640 Speaker 1: of small bones that's in the fish that helps with 207 00:11:51,720 --> 00:11:55,320 Speaker 1: his hearing. She published her findings in that first paper. 208 00:11:55,520 --> 00:11:58,040 Speaker 1: Any Um, looking at watching you right now, you're like, yeah, 209 00:11:58,080 --> 00:12:01,280 Speaker 1: that sounds about right. So thank you for that approval. 210 00:12:01,840 --> 00:12:08,720 Speaker 1: I'm like, I can't deny. I mean, if you tell 211 00:12:08,760 --> 00:12:10,920 Speaker 1: me that's what it is, then I believe you. Is 212 00:12:12,400 --> 00:12:16,520 Speaker 1: it sounds right to me. She published her findings in 213 00:12:16,640 --> 00:12:19,840 Speaker 1: her first paper, Webber's organ of Carpet Fish, in the 214 00:12:19,880 --> 00:12:23,320 Speaker 1: journal Zoological Science in nineteen o five, and that was 215 00:12:23,360 --> 00:12:25,880 Speaker 1: the first paper by a woman's scientists published in the journal. 216 00:12:27,280 --> 00:12:30,800 Speaker 1: Once she completed that program in nineteen o seven, she 217 00:12:30,880 --> 00:12:34,280 Speaker 1: became an assistant professor at the school um but she 218 00:12:34,360 --> 00:12:38,360 Speaker 1: didn't get a ton of support and research through that position. 219 00:12:38,880 --> 00:12:41,120 Speaker 1: But as a motivated person, yes, we decided that she 220 00:12:41,200 --> 00:12:45,680 Speaker 1: wanted to independently do her own research and plant scytology 221 00:12:45,800 --> 00:12:50,000 Speaker 1: and embryology. And so this is when she started documenting 222 00:12:50,000 --> 00:12:52,480 Speaker 1: the And this is what you know you're talking about 223 00:12:52,520 --> 00:12:55,000 Speaker 1: in terms of getting really specific here, Like when you 224 00:12:55,040 --> 00:12:56,840 Speaker 1: find a thing, you really drill down into it. I 225 00:12:56,840 --> 00:12:59,520 Speaker 1: think that's pretty admirable, Like because we don't all find 226 00:13:00,520 --> 00:13:02,880 Speaker 1: those things in our lifetime. I feel like, or maybe 227 00:13:03,000 --> 00:13:06,720 Speaker 1: we we could have, we missed out on them. Um. 228 00:13:06,760 --> 00:13:09,880 Speaker 1: But she definitely UM seems like the type of person 229 00:13:09,920 --> 00:13:12,959 Speaker 1: and from the things she said to really have enjoy 230 00:13:13,040 --> 00:13:15,400 Speaker 1: the research she did and was proud that she found 231 00:13:15,440 --> 00:13:18,800 Speaker 1: a lane that she could really hone in on. Mm hmm. 232 00:13:19,200 --> 00:13:22,040 Speaker 1: I love it. I love it so much. Legitimately, Yeah, 233 00:13:23,600 --> 00:13:25,520 Speaker 1: I love my friends who work in the science field 234 00:13:25,520 --> 00:13:27,480 Speaker 1: and they're like, I'm working on this very specific thing 235 00:13:27,559 --> 00:13:32,560 Speaker 1: that I don't understand it all, and I'm like, wow, cool, yeah, 236 00:13:32,960 --> 00:13:36,440 Speaker 1: yeah I can. I can totally. I can see that, 237 00:13:36,520 --> 00:13:39,320 Speaker 1: like the amount of dedication that it takes and like 238 00:13:39,480 --> 00:13:43,000 Speaker 1: focus that it takes to find that thing and then 239 00:13:43,280 --> 00:13:47,000 Speaker 1: spend so much time on it. Yeah, and how it 240 00:13:47,160 --> 00:13:49,760 Speaker 1: consumes your life and you're thinking about it every day 241 00:13:49,800 --> 00:13:54,040 Speaker 1: and almost nobody perhaps in your friend circle, understands talking 242 00:13:54,080 --> 00:13:56,880 Speaker 1: about like I have. I have a friend who she 243 00:13:56,960 --> 00:13:59,480 Speaker 1: has been in her doctorate program for a biology thing. 244 00:14:00,000 --> 00:14:01,880 Speaker 1: You told me four times what it was. It kind 245 00:14:01,880 --> 00:14:03,200 Speaker 1: of tried to tell me what she's working on, and 246 00:14:03,240 --> 00:14:05,120 Speaker 1: she's been working on for the past like four or 247 00:14:05,120 --> 00:14:07,880 Speaker 1: five years, and I'm like, I forgot what you just said. 248 00:14:08,000 --> 00:14:10,040 Speaker 1: Can you read it to be a good because I'm 249 00:14:10,080 --> 00:14:14,960 Speaker 1: so confused about what is happening. Yeah, yeah, and I 250 00:14:15,000 --> 00:14:16,880 Speaker 1: guess that can happen in smaller ways with things that 251 00:14:16,920 --> 00:14:19,520 Speaker 1: don't require so much detailed research, where you're just like, 252 00:14:20,360 --> 00:14:24,120 Speaker 1: whatever you're doing sounds really cool, but I'm just I'm 253 00:14:24,120 --> 00:14:26,200 Speaker 1: not gonna understand it. I'm going to forget everything you 254 00:14:26,280 --> 00:14:29,360 Speaker 1: told me, so, so please have patience with me as 255 00:14:29,360 --> 00:14:31,360 Speaker 1: you have to re explain things to me over and 256 00:14:31,440 --> 00:14:36,160 Speaker 1: over um. But those are the joys of like having 257 00:14:36,200 --> 00:14:38,600 Speaker 1: so many different things to to be able to do 258 00:14:39,360 --> 00:14:42,760 Speaker 1: in this lifetime. Yeah, we have a little bit more 259 00:14:42,760 --> 00:14:44,520 Speaker 1: for you listeners, but first we have a quick break 260 00:14:44,520 --> 00:15:01,000 Speaker 1: for a word from responsor. I back, thank you sponsor. 261 00:15:02,160 --> 00:15:05,040 Speaker 1: So she decided you want to do this independent research, 262 00:15:05,440 --> 00:15:09,040 Speaker 1: and she began documenting the anatomy of the aquatic fern 263 00:15:09,520 --> 00:15:15,240 Speaker 1: Salvenia natons, which is really pretty I feel like I 264 00:15:15,240 --> 00:15:18,800 Speaker 1: feel like a lot of yeah, the species names and 265 00:15:18,800 --> 00:15:20,720 Speaker 1: and ginu's names and stuff like that can be like 266 00:15:20,840 --> 00:15:22,560 Speaker 1: roll off the tongue very poorly. But I feel like 267 00:15:22,600 --> 00:15:27,560 Speaker 1: Salvenia naton's, yeah, should be a D and D character, 268 00:15:27,760 --> 00:15:32,920 Speaker 1: Like there you go in aquatic you have done that's 269 00:15:33,080 --> 00:15:36,280 Speaker 1: known with ferns growing on it. My head is a 270 00:15:36,320 --> 00:15:43,000 Speaker 1: sparkly plant that hills something so yeah okay yeah, or 271 00:15:43,040 --> 00:15:49,640 Speaker 1: something right, yeah, it's not as pretty so in her research, 272 00:15:50,400 --> 00:15:52,880 Speaker 1: her research on Somebody in Natons was published in a 273 00:15:52,960 --> 00:15:55,920 Speaker 1: Japanese journal, and for the next couple of years she 274 00:15:56,000 --> 00:15:59,880 Speaker 1: continued to steady plant psychology and the fern and she 275 00:16:00,200 --> 00:16:03,400 Speaker 1: used a microtome to cut sections of tissue to view 276 00:16:03,440 --> 00:16:05,560 Speaker 1: under a microscope, which is basically just an instrument to 277 00:16:05,640 --> 00:16:09,160 Speaker 1: do that, and she in nineteen eleven she was published 278 00:16:09,160 --> 00:16:13,320 Speaker 1: in the British journal Annals of Botany with her paper 279 00:16:13,680 --> 00:16:17,160 Speaker 1: on the life history of Salvinian Antan's. It contained a 280 00:16:17,200 --> 00:16:19,320 Speaker 1: bunch of those drawings of the cut sections that she 281 00:16:19,400 --> 00:16:24,000 Speaker 1: did of the fern, and it was that publication marked 282 00:16:24,000 --> 00:16:26,360 Speaker 1: the first time that a Japanese woman was published in 283 00:16:26,360 --> 00:16:29,840 Speaker 1: a foreign science journal. The first Japanese woman to get 284 00:16:29,880 --> 00:16:34,280 Speaker 1: a bachelor's degree was Sute matsu Yamakawa, who graduated from 285 00:16:34,400 --> 00:16:37,720 Speaker 1: Vassar College in the US in eighteen eighty two. And 286 00:16:38,400 --> 00:16:42,360 Speaker 1: there were several Imperial universities in Japan, and there were 287 00:16:42,440 --> 00:16:44,920 Speaker 1: some women who attended them before World War Two, but 288 00:16:45,000 --> 00:16:48,440 Speaker 1: overall there weren't that many women who who attended the 289 00:16:48,480 --> 00:16:51,600 Speaker 1: Imperial universities, and out of those it was a small 290 00:16:51,640 --> 00:16:56,880 Speaker 1: percentage who majored in science. And while teaching at the 291 00:16:56,920 --> 00:17:02,440 Speaker 1: Tokyo Women's Higher Normal Schools, Yasu herself submitted a request 292 00:17:02,440 --> 00:17:07,120 Speaker 1: to study overseas. So the Ministry of Education rejected her requests, 293 00:17:07,320 --> 00:17:09,600 Speaker 1: and it's been said that that was due to the 294 00:17:09,640 --> 00:17:14,719 Speaker 1: belief that women would not find success in scientific fields. Um. 295 00:17:14,760 --> 00:17:17,919 Speaker 1: But regardless, Kenjia Fuji, who was a professor at the 296 00:17:18,000 --> 00:17:22,479 Speaker 1: Tokyo Imperial University, advocated for her and the ministry eventually 297 00:17:22,520 --> 00:17:26,080 Speaker 1: approved her request, but with the condition that she at 298 00:17:26,160 --> 00:17:29,520 Speaker 1: research of home economics to her course of study overseas, 299 00:17:30,359 --> 00:17:32,520 Speaker 1: and apparently she also had to agree to not marry 300 00:17:32,520 --> 00:17:38,280 Speaker 1: and devote her life to research. Yeah, it still goes 301 00:17:38,320 --> 00:17:41,040 Speaker 1: on like that that. Um. We did an episode on 302 00:17:41,240 --> 00:17:44,320 Speaker 1: sexism at Tokyo University, and there were stories of like 303 00:17:44,720 --> 00:17:48,920 Speaker 1: having a calendar of when women could have children. Um, 304 00:17:48,960 --> 00:17:51,960 Speaker 1: just so like you wouldn't be out more, too many 305 00:17:51,960 --> 00:17:56,640 Speaker 1: people wouldn't be out at the same time. Um. But yeah, 306 00:17:56,680 --> 00:18:00,840 Speaker 1: that's okay, Yeah, yeah, yeah. I saw one bob saying 307 00:18:00,840 --> 00:18:03,440 Speaker 1: that they did this because she didn't They didn't want 308 00:18:03,480 --> 00:18:08,600 Speaker 1: to have her ambition outshine her maybe husband or other 309 00:18:08,680 --> 00:18:11,280 Speaker 1: men or something like maybe she said that they wouldn't compete, 310 00:18:11,400 --> 00:18:15,199 Speaker 1: And I'm thinking, what what, like none of them that 311 00:18:15,240 --> 00:18:18,280 Speaker 1: makes sense to me, I kid correlate those two things. 312 00:18:18,880 --> 00:18:21,479 Speaker 1: It's odd too that they're like, well, you know, at 313 00:18:21,560 --> 00:18:25,400 Speaker 1: least according to to these suggestions that they would say, 314 00:18:25,440 --> 00:18:28,080 Speaker 1: you have to take a home economics course but never 315 00:18:28,200 --> 00:18:32,600 Speaker 1: marry or have children. Yeah, there's some kind of disconnect there. Yeah, 316 00:18:32,640 --> 00:18:36,240 Speaker 1: there's a cognit disiness. Yeah. And it also is I 317 00:18:36,240 --> 00:18:39,120 Speaker 1: think there's a disconnect to and just kind of wanting 318 00:18:39,800 --> 00:18:43,320 Speaker 1: national like I don't know, like wanting a little glory 319 00:18:44,000 --> 00:18:45,879 Speaker 1: and like having this person who you can you can 320 00:18:45,920 --> 00:18:48,520 Speaker 1: see a little bit of potential win already, but not 321 00:18:48,640 --> 00:18:53,000 Speaker 1: wanting them to be the person who represented that excellence 322 00:18:53,200 --> 00:18:55,120 Speaker 1: or or glory or whatever you want to call that thing. 323 00:18:55,160 --> 00:18:58,040 Speaker 1: And in terms of representing the work that she did 324 00:18:58,119 --> 00:19:01,000 Speaker 1: and that she was a Japanese woman. But it wasn't 325 00:19:01,000 --> 00:19:09,879 Speaker 1: my decision. Um, it wasn't. It wasn't. Shocker. Yeah, the 326 00:19:09,880 --> 00:19:14,880 Speaker 1: Ministry of Education eventually did approved the request. Um. But yeah, 327 00:19:14,880 --> 00:19:18,000 Speaker 1: So in nineteen fourteen she arrived in the US and 328 00:19:18,119 --> 00:19:21,760 Speaker 1: she continued to research titology in the US at the 329 00:19:21,840 --> 00:19:25,320 Speaker 1: University of Chicago, and she had planned on study in Germany, 330 00:19:25,359 --> 00:19:27,280 Speaker 1: but this was around the time that World War One 331 00:19:27,280 --> 00:19:30,720 Speaker 1: broke out, so those plans kind of wo by the wayside, 332 00:19:31,359 --> 00:19:34,960 Speaker 1: and instead she went to Ratcliffe College in Cambridge, where 333 00:19:35,000 --> 00:19:38,639 Speaker 1: she studied plant tissue under Professor Edward see Jeffrey. So 334 00:19:38,800 --> 00:19:42,240 Speaker 1: Jeffrey had developed a method for cutting thin slices from 335 00:19:42,280 --> 00:19:46,600 Speaker 1: heart materials like cold. She kind of followed his that route, 336 00:19:46,800 --> 00:19:49,560 Speaker 1: and he encouraged her to do research on coal and 337 00:19:49,600 --> 00:19:52,800 Speaker 1: she pursued those studies, and in nineteen sixteen she went 338 00:19:52,840 --> 00:19:56,200 Speaker 1: back to Japan and she began teaching at the Women's 339 00:19:56,280 --> 00:20:00,520 Speaker 1: Higher Normal School and continued her research at Tokyo Imperial University. 340 00:20:00,840 --> 00:20:04,680 Speaker 1: And at the university she also oversaw the experiments that 341 00:20:04,760 --> 00:20:10,240 Speaker 1: students were doing for genetics course and she herself went 342 00:20:10,280 --> 00:20:16,360 Speaker 1: around Japan collecting coal. Um there are accounts of her 343 00:20:16,480 --> 00:20:19,520 Speaker 1: going down into coal pits herself with the basket to 344 00:20:19,520 --> 00:20:22,720 Speaker 1: be able to collect the coal. And at the same 345 00:20:22,760 --> 00:20:26,359 Speaker 1: time she was still doing psychology and genetics research on plants, 346 00:20:27,280 --> 00:20:31,239 Speaker 1: and yeah, digging deeper into that research. So over the 347 00:20:31,240 --> 00:20:34,679 Speaker 1: course of that she classified a bunch of plant fossils 348 00:20:34,760 --> 00:20:39,080 Speaker 1: and discovered at least six ancient species of plants. Oh 349 00:20:39,480 --> 00:20:43,240 Speaker 1: that's so cool. Yeah, that's the thing that you're like, 350 00:20:43,440 --> 00:20:45,360 Speaker 1: I would love to be a part of something that 351 00:20:45,400 --> 00:20:49,080 Speaker 1: you discovered something, you made these findings and you're attached 352 00:20:49,119 --> 00:20:53,679 Speaker 1: to I was so dedicated to something that I found 353 00:20:53,680 --> 00:20:55,840 Speaker 1: something new that you didn't know, which is a whole 354 00:20:55,840 --> 00:20:58,080 Speaker 1: other thing. But yeah, that was so cool to read 355 00:20:58,080 --> 00:21:01,639 Speaker 1: about that. And also like just how kind of UH 356 00:21:02,040 --> 00:21:06,040 Speaker 1: transformed uh and and made changes for about coal and stuff. 357 00:21:06,080 --> 00:21:09,119 Speaker 1: You're like, whoa, that's like huge proponent to you know, 358 00:21:09,160 --> 00:21:14,800 Speaker 1: our resources. Mm hm m m hm. Yeah. And I 359 00:21:14,800 --> 00:21:17,240 Speaker 1: think to also to have things named after you, which 360 00:21:17,840 --> 00:21:20,480 Speaker 1: yes we did, is really cool. Like, I don't know, 361 00:21:20,640 --> 00:21:24,280 Speaker 1: I see that. But she's she published her doctoral thesis 362 00:21:24,280 --> 00:21:28,359 Speaker 1: in that was called Studies on the Structure of Lignite, 363 00:21:28,359 --> 00:21:31,600 Speaker 1: brown Coal and Potuminous Coal in Japan. It was a 364 00:21:31,600 --> 00:21:36,600 Speaker 1: collection of nine papers, and she earned her doctoral degree 365 00:21:36,760 --> 00:21:41,199 Speaker 1: from in science from the Tokyo Imperial University. Right was 366 00:21:41,240 --> 00:21:43,360 Speaker 1: this their backtracking and being like, oh, of course we've 367 00:21:43,359 --> 00:21:46,000 Speaker 1: always encouraged her to be a scientist. We knew she 368 00:21:46,119 --> 00:21:49,440 Speaker 1: was going to be genius, so look how cool we are. Yeah, 369 00:21:49,480 --> 00:21:54,480 Speaker 1: she she earned it, so that made her the first 370 00:21:54,560 --> 00:21:58,560 Speaker 1: Japanese woman to earn a doctorate in science. And yeah, 371 00:21:58,600 --> 00:22:01,560 Speaker 1: she she helped elucidate the car organization process by which 372 00:22:01,600 --> 00:22:05,639 Speaker 1: plants turned into coal. We do have some more for 373 00:22:05,800 --> 00:22:08,440 Speaker 1: you listeners, but first we have one more quick break 374 00:22:08,520 --> 00:22:27,840 Speaker 1: for word from responsor and we're back. So yeah, she 375 00:22:29,040 --> 00:22:32,440 Speaker 1: did a lot of research papers and had a lot 376 00:22:32,560 --> 00:22:38,199 Speaker 1: of influence in that field. She was also involved in editing, accounting, 377 00:22:38,680 --> 00:22:43,800 Speaker 1: and production at the journal Sutologia, and after the atomic 378 00:22:43,880 --> 00:22:48,840 Speaker 1: bombings of Hiroshima and Nagasaki, she researched plants that were 379 00:22:48,880 --> 00:22:52,919 Speaker 1: exposed to radioactive material and after World War Two she 380 00:22:53,000 --> 00:22:57,359 Speaker 1: also advocated for the establishment of a national research university 381 00:22:57,400 --> 00:23:01,520 Speaker 1: for women. She and took haw Curoda, who was the 382 00:23:01,560 --> 00:23:04,919 Speaker 1: first woman in Japan to earn a bachelor science and 383 00:23:04,920 --> 00:23:07,920 Speaker 1: the second woman to earn a doctorate in science. They 384 00:23:08,040 --> 00:23:10,639 Speaker 1: established a scholarships to support women who worked in the 385 00:23:10,720 --> 00:23:15,520 Speaker 1: natural sciences. But at the same time, Yessus kind of 386 00:23:15,560 --> 00:23:18,720 Speaker 1: described as not being a fan of putting women's work 387 00:23:18,800 --> 00:23:23,520 Speaker 1: in the category of its own, because in her view, 388 00:23:23,600 --> 00:23:27,120 Speaker 1: that would just reinforce the inequality and it would mean 389 00:23:27,240 --> 00:23:31,160 Speaker 1: that their work was not being held to the same standard, 390 00:23:31,440 --> 00:23:35,600 Speaker 1: and that's not really how she wanted, in her her 391 00:23:35,680 --> 00:23:38,399 Speaker 1: view and her purview things to work in the people 392 00:23:38,440 --> 00:23:42,280 Speaker 1: that she was teaching to think about their work. And 393 00:23:42,359 --> 00:23:46,240 Speaker 1: she also valued the longevity of her work over recognition. 394 00:23:46,320 --> 00:23:48,400 Speaker 1: So she wasn't that hot on the fame. She wasn't 395 00:23:48,400 --> 00:23:51,600 Speaker 1: that hot on she well, I guess it wasn't the 396 00:23:51,640 --> 00:23:53,760 Speaker 1: most important thing to her to be recognized for the 397 00:23:53,760 --> 00:23:57,800 Speaker 1: work that she was doing. But even so, she definitely 398 00:23:57,800 --> 00:24:01,080 Speaker 1: had an impact. In the nineteen the Tokyo Women's Highed 399 00:24:01,119 --> 00:24:05,760 Speaker 1: Normal School became Omiso University, and yeah, so we became 400 00:24:05,840 --> 00:24:09,600 Speaker 1: a professor of science at the university. But not long after, 401 00:24:09,960 --> 00:24:13,080 Speaker 1: around nineteen fifty two, she retired and she became a 402 00:24:13,119 --> 00:24:16,720 Speaker 1: professor emeritus at the university. But even so she continued 403 00:24:16,720 --> 00:24:20,280 Speaker 1: her research and her editing for the journal, and over 404 00:24:20,320 --> 00:24:23,000 Speaker 1: the course of her life she published more than ninety papers, 405 00:24:23,560 --> 00:24:27,840 Speaker 1: with the last appearing in nineteen fifty seven. So yeah, 406 00:24:28,080 --> 00:24:32,359 Speaker 1: very prolific in terms of the work that she did. Yeah, 407 00:24:32,520 --> 00:24:37,320 Speaker 1: ninety papers and then it lasted. Like wow, she's still 408 00:24:37,359 --> 00:24:41,000 Speaker 1: like a lasting impact with her research. That's amazing. Mm 409 00:24:41,119 --> 00:24:47,040 Speaker 1: hmmm mm hmm. So cool. I really do. I'm like, God, 410 00:24:47,080 --> 00:24:49,560 Speaker 1: I'm never gonna look at ferns the same way again. 411 00:24:52,600 --> 00:24:55,080 Speaker 1: I can't can't wait to hear about your character Salvidian 412 00:24:55,119 --> 00:24:58,720 Speaker 1: A times. Oh, I'm already I got the image in 413 00:24:58,800 --> 00:25:02,680 Speaker 1: my head. It's she's going to be like an enigma 414 00:25:03,640 --> 00:25:09,520 Speaker 1: for sure, of course, is yeah, I mean, don't you 415 00:25:09,600 --> 00:25:12,160 Speaker 1: feel like she would be an enigma? I think so 416 00:25:14,560 --> 00:25:16,680 Speaker 1: got it all planned out, planning it out right, one 417 00:25:16,760 --> 00:25:20,960 Speaker 1: with nature, rightly, one with nature like that that could 418 00:25:21,040 --> 00:25:24,160 Speaker 1: not be anything else, Like she has to be one 419 00:25:24,160 --> 00:25:28,000 Speaker 1: with nature. She somehow controls some of it. Come on, yeah, 420 00:25:28,080 --> 00:25:30,120 Speaker 1: you know, you know the funny thing, I mean, actually 421 00:25:30,119 --> 00:25:32,680 Speaker 1: sad thing. But my D and D campaign is kind 422 00:25:32,720 --> 00:25:34,920 Speaker 1: of about climate change and like the world coming into 423 00:25:34,920 --> 00:25:37,280 Speaker 1: an in so she could be like a real you know, 424 00:25:38,000 --> 00:25:44,159 Speaker 1: emotionally tied to the planet and what it's suffering. And yeah, 425 00:25:44,400 --> 00:25:47,040 Speaker 1: you cannot planned out. Maybe you should, you know, read 426 00:25:47,040 --> 00:25:51,040 Speaker 1: that research paper and get some get some background, some 427 00:25:51,119 --> 00:25:53,720 Speaker 1: background you have to for a little bit more inspiration. 428 00:25:54,640 --> 00:25:57,560 Speaker 1: I feel like I totally will, but it's one of 429 00:25:57,680 --> 00:25:59,560 Speaker 1: those things where I'm going to have to read every sentence, 430 00:25:59,640 --> 00:26:02,160 Speaker 1: like I'll to look up definitions for like every other word, 431 00:26:02,200 --> 00:26:06,520 Speaker 1: you know what I mean. Those papers are so draining 432 00:26:06,560 --> 00:26:08,840 Speaker 1: to read, but worthwhile if you put in the time. 433 00:26:09,520 --> 00:26:11,440 Speaker 1: I was gonna say, as you're like explaining the things 434 00:26:11,440 --> 00:26:14,159 Speaker 1: she's done and how she's getting there or what she accomplished, 435 00:26:14,160 --> 00:26:16,439 Speaker 1: I have to sit back and through like okay, okay, 436 00:26:16,520 --> 00:26:20,040 Speaker 1: yeah yeah, and then comment the pauses us trying to 437 00:26:20,080 --> 00:26:22,600 Speaker 1: take everything yet that she's doing or the experiments she's 438 00:26:22,640 --> 00:26:25,399 Speaker 1: trying to do. All of that. You're like, oh yeah, yeah, cool, 439 00:26:25,800 --> 00:26:33,000 Speaker 1: cool yeah cool yeah. Uh different definitely different life path, 440 00:26:34,720 --> 00:26:39,960 Speaker 1: but um, one worth you know, studying and looking back on. Nonetheless, 441 00:26:40,040 --> 00:26:41,480 Speaker 1: she did get a lot of honors for the word 442 00:26:41,480 --> 00:26:44,480 Speaker 1: that she did. She received the Medal with the Purple Ribbon, 443 00:26:44,560 --> 00:26:47,400 Speaker 1: which was a medal that is awarded to people who 444 00:26:47,400 --> 00:26:51,480 Speaker 1: have made outstanding academic and artistic achievements. And she also 445 00:26:51,520 --> 00:26:54,000 Speaker 1: received the Order of the Precious Crown, third Class, which 446 00:26:54,000 --> 00:26:58,040 Speaker 1: is a Japanese order. And she died in one at 447 00:26:58,080 --> 00:27:03,119 Speaker 1: age one. So um, she lived a pretty long life 448 00:27:03,119 --> 00:27:06,960 Speaker 1: and one that she that was pretty full of her 449 00:27:07,000 --> 00:27:11,240 Speaker 1: dedication to research and and traveling through that research as well. 450 00:27:11,280 --> 00:27:15,160 Speaker 1: And m yeah, I think one that's good to look 451 00:27:15,200 --> 00:27:17,199 Speaker 1: back on in terms of all the other people that 452 00:27:17,280 --> 00:27:20,360 Speaker 1: came after her, who who studied science, and not just 453 00:27:20,480 --> 00:27:22,960 Speaker 1: because they got a doctorate in it, you know, like, 454 00:27:23,119 --> 00:27:25,600 Speaker 1: of course that's her first, and that's the thing that 455 00:27:25,720 --> 00:27:28,440 Speaker 1: is a notable achievement, an accomplishment in her lifetime. But 456 00:27:30,160 --> 00:27:33,159 Speaker 1: like when it comes down to it, like what mattered 457 00:27:33,240 --> 00:27:34,840 Speaker 1: and what got her there was the work that she 458 00:27:34,880 --> 00:27:38,600 Speaker 1: did in her dedication to it, and that is what 459 00:27:38,760 --> 00:27:42,400 Speaker 1: she was so consumed with in a seemingly healthy way 460 00:27:42,400 --> 00:27:47,640 Speaker 1: and one that helped contribute to the entire field of 461 00:27:47,680 --> 00:27:51,399 Speaker 1: science all throughout the world. M h. Yeah. And I 462 00:27:51,440 --> 00:27:53,840 Speaker 1: think it's it's really worthwhile to talk about this because 463 00:27:54,680 --> 00:27:56,840 Speaker 1: this kind of stuff is still going on of like 464 00:27:57,040 --> 00:27:59,560 Speaker 1: women in science is still a big conversation in the 465 00:27:59,560 --> 00:28:03,479 Speaker 1: barriers and obstacles there in and getting more women involved 466 00:28:03,480 --> 00:28:05,679 Speaker 1: in science. I know, I've told the story multiple times 467 00:28:05,720 --> 00:28:08,040 Speaker 1: of when I was in high school, my favorite subject 468 00:28:08,040 --> 00:28:10,080 Speaker 1: was physics, and then I was told like it's not 469 00:28:10,160 --> 00:28:12,639 Speaker 1: cool for girls to like math and science, so I 470 00:28:12,800 --> 00:28:16,639 Speaker 1: changed my path um and then and right now with 471 00:28:16,680 --> 00:28:19,000 Speaker 1: COVID and the pandemic, we're seeing those studies come out 472 00:28:19,040 --> 00:28:22,399 Speaker 1: of how many women are being penalized like their papers 473 00:28:22,400 --> 00:28:26,679 Speaker 1: aren't getting submitted or read UM because of all of 474 00:28:26,760 --> 00:28:30,480 Speaker 1: the things that they're having to do UM with children 475 00:28:30,640 --> 00:28:33,440 Speaker 1: or our other jobs or being caretakers in general. So 476 00:28:34,520 --> 00:28:37,600 Speaker 1: I think this is a good UM. This is a 477 00:28:37,680 --> 00:28:44,080 Speaker 1: good first to talk about UM and still ongoing conversation 478 00:28:44,160 --> 00:28:46,560 Speaker 1: we're having, right, And I also think like one of 479 00:28:46,560 --> 00:28:48,320 Speaker 1: the things that you were talking about how she didn't 480 00:28:48,360 --> 00:28:51,760 Speaker 1: want to have just the one women's categories because it 481 00:28:51,840 --> 00:28:54,880 Speaker 1: was such a binding category, and how it can limit 482 00:28:54,880 --> 00:28:57,400 Speaker 1: women in itself, like the fact that we haven't even 483 00:28:57,440 --> 00:28:59,840 Speaker 1: gotten past that, like we still have to categorize in 484 00:29:00,120 --> 00:29:02,960 Speaker 1: or to be able to equalize the playing field because 485 00:29:03,000 --> 00:29:07,560 Speaker 1: people are so willing to dismiss those dismissed women in 486 00:29:07,600 --> 00:29:10,600 Speaker 1: general in the field and unless we have categories like 487 00:29:10,640 --> 00:29:13,280 Speaker 1: that are not allowed to give it, not even given 488 00:29:13,320 --> 00:29:15,840 Speaker 1: the chance. So the fact that from you know, her 489 00:29:16,480 --> 00:29:19,240 Speaker 1: time to to this time and that hasn't changed, it's 490 00:29:19,280 --> 00:29:25,080 Speaker 1: really sad. Yeah, there there are still so many fields 491 00:29:25,120 --> 00:29:28,440 Speaker 1: so that have that that create that distinction. And I 492 00:29:28,440 --> 00:29:31,160 Speaker 1: think there have been calls over the last couple of years, 493 00:29:31,200 --> 00:29:33,520 Speaker 1: like when it came to what the Academy awards. I 494 00:29:33,560 --> 00:29:38,480 Speaker 1: think like having having gender separations there, um, like when 495 00:29:38,520 --> 00:29:44,080 Speaker 1: it comes to musicians, um, in terms of like, oh, 496 00:29:44,120 --> 00:29:47,520 Speaker 1: like women hip hop artists or women rappers have to 497 00:29:47,520 --> 00:29:50,120 Speaker 1: be in this category and they can't be compared to 498 00:29:50,480 --> 00:29:53,360 Speaker 1: or they can't be put in the same the same field. 499 00:29:53,640 --> 00:29:56,280 Speaker 1: Are they they don't necessarily deserve to be, you know, 500 00:29:56,280 --> 00:29:58,680 Speaker 1: putting the same categories as these men. I think that always, 501 00:29:58,720 --> 00:30:02,280 Speaker 1: even if we say it's because of gender, like, there's 502 00:30:02,280 --> 00:30:07,280 Speaker 1: always the background where it's because we still hold the 503 00:30:07,320 --> 00:30:11,960 Speaker 1: assumptions around them not being as good lyricists or m 504 00:30:12,040 --> 00:30:16,080 Speaker 1: c s as so just so many yeah, so many 505 00:30:16,080 --> 00:30:20,640 Speaker 1: different places. And I think that, um, I think that 506 00:30:20,680 --> 00:30:25,040 Speaker 1: we can always have a debate about that because they're 507 00:30:25,040 --> 00:30:29,440 Speaker 1: gonna be people who understand that. And then but then 508 00:30:29,440 --> 00:30:33,680 Speaker 1: there's also the side of it, like, well, we were 509 00:30:33,800 --> 00:30:37,840 Speaker 1: so marginalized for so long that it's necessary for us 510 00:30:37,880 --> 00:30:41,720 Speaker 1: to uplift women in a certain way, um, to be 511 00:30:41,880 --> 00:30:47,239 Speaker 1: able to you know, kind of do course correction in 512 00:30:47,320 --> 00:30:49,000 Speaker 1: terms of that. So it's like, Okay, we need this 513 00:30:49,320 --> 00:30:51,560 Speaker 1: women's category because it was so long we were left 514 00:30:51,560 --> 00:30:53,840 Speaker 1: out and this this is the easiest way for us 515 00:30:53,880 --> 00:30:58,200 Speaker 1: to to get that sort of highlighting. But um, yeah, 516 00:30:58,320 --> 00:31:00,920 Speaker 1: it's it's definitely a thing that continue in science and 517 00:31:01,240 --> 00:31:05,520 Speaker 1: in so many other fields. Yeah, I have to say, like, 518 00:31:05,520 --> 00:31:08,040 Speaker 1: when people find out I'm on a feminist podcast, it's 519 00:31:08,040 --> 00:31:10,440 Speaker 1: surprising how many times it's like one of the first 520 00:31:10,480 --> 00:31:12,080 Speaker 1: questions they asked me is like, what do you think 521 00:31:12,080 --> 00:31:15,160 Speaker 1: about the Academy Awards? Should there be two categories? That's 522 00:31:15,160 --> 00:31:21,200 Speaker 1: the first question I get that question. Yet, well, I 523 00:31:21,200 --> 00:31:24,560 Speaker 1: think it's because I'm also an actor, Like there's the 524 00:31:24,760 --> 00:31:27,120 Speaker 1: intersection of it. But yeah, it is funny to me 525 00:31:27,160 --> 00:31:29,280 Speaker 1: how many people have asked me that. I'm like, huh, okay, 526 00:31:29,440 --> 00:31:32,360 Speaker 1: and yeah, I can definitely understand the frustrations. When we 527 00:31:32,440 --> 00:31:34,880 Speaker 1: had um s Cho that's one of the things that 528 00:31:34,920 --> 00:31:37,760 Speaker 1: she talked about, being really frustrated that she has to 529 00:31:38,000 --> 00:31:41,080 Speaker 1: be qualified as being the best female chef or be 530 00:31:41,200 --> 00:31:42,920 Speaker 1: you know, in these categories instead of just being like, 531 00:31:42,920 --> 00:31:45,560 Speaker 1: why can't I just be a good chef? And I'm like, yeah, 532 00:31:45,600 --> 00:31:47,840 Speaker 1: that would be ideal. And I know that's some of 533 00:31:47,840 --> 00:31:50,000 Speaker 1: the arguments of like women don't need their own categories, 534 00:31:50,120 --> 00:31:52,320 Speaker 1: or you know, people of color don't need their own categories. 535 00:31:52,480 --> 00:31:56,760 Speaker 1: But the issue is is the marginalization and slash erature 536 00:31:57,040 --> 00:31:58,720 Speaker 1: of people who are doing these good awards, as well 537 00:31:58,760 --> 00:32:00,720 Speaker 1: as the fact that a lot of time people doing 538 00:32:00,720 --> 00:32:04,080 Speaker 1: these good words get their ideals stolen from them and 539 00:32:04,120 --> 00:32:06,720 Speaker 1: then credited to white people or people that are not 540 00:32:06,840 --> 00:32:10,240 Speaker 1: of that marginalized community. And that's part of like why 541 00:32:10,360 --> 00:32:12,160 Speaker 1: like the back and forth. It's like, yeah, I get it, 542 00:32:12,600 --> 00:32:14,280 Speaker 1: this is not great, and we wish you didn't have 543 00:32:14,320 --> 00:32:16,480 Speaker 1: to be separate this out. At the same time, if 544 00:32:16,520 --> 00:32:19,360 Speaker 1: we don't, you don't ever see and you don't ever 545 00:32:19,400 --> 00:32:22,240 Speaker 1: talk about the underlying Hey, this is actually what happened. 546 00:32:22,320 --> 00:32:24,240 Speaker 1: This is actually what you know. It's the truth of 547 00:32:24,240 --> 00:32:27,040 Speaker 1: it all, and you ignored it until we highlighted it. 548 00:32:27,160 --> 00:32:29,360 Speaker 1: Like it's just it's so upsetting because you're like, it 549 00:32:29,440 --> 00:32:31,440 Speaker 1: is this balance of one or the other, and we 550 00:32:31,680 --> 00:32:37,080 Speaker 1: are trying to equalize the playing field. Yeah, and they 551 00:32:37,080 --> 00:32:39,440 Speaker 1: were and there oh sorry any no, I was just 552 00:32:39,480 --> 00:32:45,840 Speaker 1: gonna say heavy side, but yeah, there's there's also recently, 553 00:32:45,920 --> 00:32:48,120 Speaker 1: I think over the past year, have been news popping 554 00:32:48,160 --> 00:32:54,360 Speaker 1: up about the gender disparities in Tokyo University still and 555 00:32:54,920 --> 00:32:59,200 Speaker 1: so that's still a thing that happens in so many 556 00:33:00,160 --> 00:33:02,760 Speaker 1: and and a lot of higher education around around the world. 557 00:33:03,920 --> 00:33:11,520 Speaker 1: Right yep, ah, well, you know We started at Urban 558 00:33:11,600 --> 00:33:15,080 Speaker 1: Legends and we end on heavy size about gender disparity. 559 00:33:15,120 --> 00:33:18,440 Speaker 1: That sounds about right. Um, is there anything else do 560 00:33:18,480 --> 00:33:26,760 Speaker 1: you want to ask about? Right? Very morbid? But no, um, no, 561 00:33:26,920 --> 00:33:30,600 Speaker 1: there is nothing else? All right, Well, thank you so 562 00:33:30,680 --> 00:33:34,120 Speaker 1: much for joining us. Is there where we can the 563 00:33:34,120 --> 00:33:36,800 Speaker 1: good listeners find you? Um? You can find me on 564 00:33:36,840 --> 00:33:40,200 Speaker 1: the internet. I'm Att Eves jeffco on Twitter at not Apologizing. 565 00:33:40,200 --> 00:33:44,040 Speaker 1: On Instagram. You can also find me on the Show's Unpopular, 566 00:33:44,120 --> 00:33:46,000 Speaker 1: which is a show about people in history who really 567 00:33:46,000 --> 00:33:48,400 Speaker 1: broke down barriers and were persecuted for the things that 568 00:33:48,440 --> 00:33:51,160 Speaker 1: they did. And you can also find me on the 569 00:33:51,160 --> 00:33:53,960 Speaker 1: show This Day in History Class, which is about people 570 00:33:54,000 --> 00:33:57,560 Speaker 1: in history who are well not just people in histories, 571 00:33:57,560 --> 00:34:00,720 Speaker 1: about people and history and of it's in history. Um. 572 00:34:00,760 --> 00:34:06,080 Speaker 1: And those are short daily doses of new things and 573 00:34:06,120 --> 00:34:11,160 Speaker 1: hopefully interesting things that you can learn about. Definitely interesting things, 574 00:34:11,160 --> 00:34:14,719 Speaker 1: That's what I'll say. And yeah, you definitely need to 575 00:34:14,800 --> 00:34:20,200 Speaker 1: go see her instrugram because she doesn't buy stories. Her 576 00:34:20,320 --> 00:34:24,759 Speaker 1: Instagram is a little bit and if you would like 577 00:34:24,760 --> 00:34:27,080 Speaker 1: to contact us, you can or email the Stuff Media 578 00:34:27,160 --> 00:34:29,040 Speaker 1: Mom Stuff at i heeart media dot com. You can 579 00:34:29,080 --> 00:34:31,040 Speaker 1: also find it's on Twitter at mom Stuff podcast or 580 00:34:31,080 --> 00:34:33,120 Speaker 1: on Instagram and Stuff I've Never Told You, Thanks as 581 00:34:33,120 --> 00:34:36,799 Speaker 1: always to our super producer Andrew Howard. Thanks Andrew, and 582 00:34:36,840 --> 00:34:39,080 Speaker 1: thanks to you for listening Stuff I've Never Told You 583 00:34:39,080 --> 00:34:40,960 Speaker 1: the protection of I Heeart Radio For more podcast from 584 00:34:41,000 --> 00:34:43,280 Speaker 1: I Heart Radio because it's I Heart Radio, app, Apple Podcast, 585 00:34:43,400 --> 00:34:44,960 Speaker 1: or wherever you listen to your favorite shows