1 00:00:01,760 --> 00:00:06,920 Speaker 1: Hey listeners, Niminy here, host of Historical Records get ready 2 00:00:06,920 --> 00:00:09,440 Speaker 1: to hear about a historical hero through hip hop. 3 00:00:09,720 --> 00:00:11,440 Speaker 2: Also, parents and teachers. 4 00:00:11,720 --> 00:00:12,600 Speaker 3: You can download a. 5 00:00:12,600 --> 00:00:16,479 Speaker 4: Free activity related to today's episode by visiting story pirates 6 00:00:16,520 --> 00:00:21,120 Speaker 4: dot com, slash Historical Records and now onto the show. 7 00:00:21,480 --> 00:00:31,600 Speaker 2: After a few words for the grownups Historical. 8 00:00:32,479 --> 00:00:36,760 Speaker 3: Records, you are now listening to Historical. 9 00:00:37,800 --> 00:00:40,800 Speaker 5: To make history, you got to have struggle to make history. 10 00:00:40,920 --> 00:00:42,120 Speaker 6: You got to show poise. 11 00:00:42,200 --> 00:00:45,120 Speaker 2: Cannot be quiet loud as a riot to make history. 12 00:00:45,159 --> 00:00:46,839 Speaker 3: You gotta make some noise. 13 00:00:51,080 --> 00:00:54,720 Speaker 7: Hey listeners, leave from story Pirates and executive producer of 14 00:00:54,840 --> 00:00:57,920 Speaker 7: Historical Records here. One of my favorite things about hip 15 00:00:57,920 --> 00:01:00,840 Speaker 7: hop is re listening to songs so that I can 16 00:01:00,880 --> 00:01:04,479 Speaker 7: analyze and hear all of the lyrics. The words can 17 00:01:04,520 --> 00:01:08,680 Speaker 7: sometimes come pretty fast and furious, so re listening and 18 00:01:08,840 --> 00:01:13,720 Speaker 7: close listening is essential to really appreciating these incredible artists 19 00:01:13,800 --> 00:01:17,760 Speaker 7: and songs that we are so proud of. Today, we 20 00:01:17,840 --> 00:01:20,160 Speaker 7: have for you our two songs from this season about 21 00:01:20,200 --> 00:01:27,320 Speaker 7: groundbreaking women in stem STEM that's science, Technology, Engineering and math. Yep, 22 00:01:27,440 --> 00:01:31,760 Speaker 7: I'm talking about Katie Carco and Mary Golda Ross. Science 23 00:01:31,800 --> 00:01:35,479 Speaker 7: and math haven't always been fields where women have been welcomed. 24 00:01:35,840 --> 00:01:39,440 Speaker 7: In fact, for a long time, and sometimes even still today, 25 00:01:39,720 --> 00:01:42,280 Speaker 7: it's hard for women to find jobs in science and math, 26 00:01:42,600 --> 00:01:46,600 Speaker 7: even though they're totally qualified and deserving of them. It's 27 00:01:46,640 --> 00:01:50,240 Speaker 7: not fair and it's not right. But Katie Caraco and 28 00:01:50,360 --> 00:01:54,200 Speaker 7: Mary golda Ross both did more than their part in 29 00:01:54,320 --> 00:01:57,960 Speaker 7: opening up science and math to women all over the world. 30 00:01:58,400 --> 00:02:01,680 Speaker 7: So let's start by talking about song about Katie Carko. 31 00:02:02,960 --> 00:02:06,160 Speaker 7: I just love the lyrics to this song, specifically the 32 00:02:06,200 --> 00:02:10,200 Speaker 7: metaphor about wolves and sheep that starts the song. But 33 00:02:10,480 --> 00:02:14,720 Speaker 7: what exactly is a metaphor. It's actually really simple. A 34 00:02:14,760 --> 00:02:17,240 Speaker 7: metaphor is just a way of comparing one thing to 35 00:02:17,280 --> 00:02:21,120 Speaker 7: another thing as a way to explain it or shine 36 00:02:21,120 --> 00:02:24,800 Speaker 7: a light on that thing. And a good metaphor really 37 00:02:24,840 --> 00:02:28,359 Speaker 7: tells the story. That's why metaphors are so common in 38 00:02:28,440 --> 00:02:32,160 Speaker 7: hip hop lyrics, and in this song, the lyrics use 39 00:02:32,240 --> 00:02:37,799 Speaker 7: an extended metaphor to explain how vaccines work. An extended 40 00:02:37,840 --> 00:02:42,840 Speaker 7: metaphor is an extended story, an even longer story, and 41 00:02:42,960 --> 00:02:44,760 Speaker 7: it can be really fun to follow along with it. 42 00:02:45,280 --> 00:02:47,040 Speaker 7: So here's what I want you to do. Listen to 43 00:02:47,080 --> 00:02:51,280 Speaker 7: the song and the metaphor about how vaccines work, you know, 44 00:02:51,360 --> 00:02:53,680 Speaker 7: the part about the wolf and the sheep, And then 45 00:02:53,800 --> 00:02:56,880 Speaker 7: after you finished listening, see if you can repeat the 46 00:02:56,960 --> 00:03:01,920 Speaker 7: metaphor to someone else, because that's another cool thing about metaphors. 47 00:03:02,240 --> 00:03:07,280 Speaker 7: They can make remembering complicated things like how vaccines work 48 00:03:07,760 --> 00:03:11,160 Speaker 7: much much easier. And if you want to follow along 49 00:03:11,160 --> 00:03:13,919 Speaker 7: with the lyrics, which I definitely recommend, you can find 50 00:03:13,960 --> 00:03:18,960 Speaker 7: them at story pirates dot com slash historical records. After 51 00:03:19,000 --> 00:03:21,000 Speaker 7: this first track, I'll be back to point out a 52 00:03:21,040 --> 00:03:23,920 Speaker 7: couple of things I love about our song, Mary Golda Ross. 53 00:03:24,400 --> 00:03:26,840 Speaker 7: Here's Katiecarco enjoy. 54 00:03:34,600 --> 00:03:36,680 Speaker 3: Hello world. I'm Katiecarico. 55 00:03:37,200 --> 00:03:40,360 Speaker 5: I help develop the in vitro transcribe messenger RNA for 56 00:03:40,440 --> 00:03:44,080 Speaker 5: protein therapies, directly leading to the ninety nine percent effective 57 00:03:44,120 --> 00:03:48,480 Speaker 5: Pfizer BioNTech coronavirus vaccine. But in order to understand what 58 00:03:48,600 --> 00:03:51,320 Speaker 5: the heck I just said, let me break down some 59 00:03:51,680 --> 00:03:56,320 Speaker 5: science for you, Starting with how vaccines work. Think of 60 00:03:56,360 --> 00:03:59,040 Speaker 5: your body as a field full of sheep aka white 61 00:03:59,080 --> 00:04:02,280 Speaker 5: let's sell soaps so clean and thinks of a disease 62 00:04:02,440 --> 00:04:03,600 Speaker 5: like a wolf's so mean. 63 00:04:03,720 --> 00:04:06,320 Speaker 3: The wolf wants to eat all the sheep. Bet the seed. 64 00:04:06,600 --> 00:04:09,320 Speaker 5: He come mon man in his sheep's clothes and from 65 00:04:09,360 --> 00:04:11,720 Speaker 5: his head to with cells got a coat of protein. 66 00:04:11,960 --> 00:04:14,440 Speaker 5: If the sheep get oop, then they get deeped in 67 00:04:14,520 --> 00:04:17,320 Speaker 5: the vaccines. Like the first time the wolf gets seen 68 00:04:17,640 --> 00:04:19,040 Speaker 5: a little mini wolf. 69 00:04:18,800 --> 00:04:21,480 Speaker 3: Who has been we can give a hint of the wolf. 70 00:04:21,520 --> 00:04:23,960 Speaker 5: So the sheep gets this thing an alarm that can 71 00:04:24,000 --> 00:04:26,400 Speaker 5: bring if the wolf back again, So the sheep know 72 00:04:26,560 --> 00:04:28,240 Speaker 5: not to let the big wolf tend. 73 00:04:28,279 --> 00:04:30,120 Speaker 3: So when the whole world entangled in. 74 00:04:30,200 --> 00:04:33,839 Speaker 5: COVID nineteen, ourselves need vaccines, and they need them with speed, 75 00:04:34,040 --> 00:04:35,120 Speaker 5: but it takes many. 76 00:04:34,960 --> 00:04:35,840 Speaker 8: Years just to test. 77 00:04:35,880 --> 00:04:38,599 Speaker 5: Send for Sita lets a keen scientist as a plant 78 00:04:38,640 --> 00:04:42,760 Speaker 5: to succeed. That's me Katie Cobraco, a hero trying to 79 00:04:42,839 --> 00:04:43,520 Speaker 5: change the world. 80 00:04:43,560 --> 00:04:44,760 Speaker 3: But she ain't got a we go. 81 00:04:45,000 --> 00:04:49,000 Speaker 5: She feels her contributions are ultimately equal to many scientists 82 00:04:49,040 --> 00:04:49,680 Speaker 5: in her field. 83 00:04:49,800 --> 00:04:50,800 Speaker 8: Here we go, ca. 84 00:05:12,520 --> 00:05:16,200 Speaker 3: My research. My neck wasn't ammar renee. That's messenger rival 85 00:05:16,320 --> 00:05:17,280 Speaker 3: nucleay ad it. 86 00:05:17,360 --> 00:05:17,760 Speaker 8: Okay. 87 00:05:18,040 --> 00:05:20,800 Speaker 5: The easiest way you can think about that is as 88 00:05:20,839 --> 00:05:24,080 Speaker 5: a ten three D printer. The fact it's like match it. 89 00:05:24,279 --> 00:05:26,120 Speaker 5: If it gets fed up protein, it will match it. 90 00:05:26,360 --> 00:05:29,360 Speaker 5: Making replications at the drop of a hat, them sending 91 00:05:29,440 --> 00:05:32,440 Speaker 5: them wherever they are needed in the body. Then the 92 00:05:32,480 --> 00:05:35,719 Speaker 5: process gets repeated and repeated, and my thumb the coverco 93 00:05:35,880 --> 00:05:38,280 Speaker 5: moment of Eureka was when I was in the lab 94 00:05:38,360 --> 00:05:41,000 Speaker 5: with my burners and my beakers, A thought, what if 95 00:05:41,000 --> 00:05:43,159 Speaker 5: we take that printer and we tweak it, we teach 96 00:05:43,200 --> 00:05:45,279 Speaker 5: it only to make the proteins that we feed it. 97 00:05:45,320 --> 00:05:48,599 Speaker 5: Why then we could create growth ages of ensigns, empty 98 00:05:48,680 --> 00:05:51,320 Speaker 5: bodies made at a rate that was ten times faster 99 00:05:51,440 --> 00:05:51,960 Speaker 5: than before. 100 00:05:52,160 --> 00:05:53,760 Speaker 3: I knew that this would change it at all. I 101 00:05:53,800 --> 00:05:55,919 Speaker 3: tried to tell the world, but nobody listen to. 102 00:05:56,000 --> 00:05:56,720 Speaker 8: The call of me. 103 00:05:57,200 --> 00:06:00,240 Speaker 5: Hey the corricop and Vito trying to say the hours 104 00:06:00,279 --> 00:06:03,680 Speaker 5: but got spotted. Like Mesito survived adult with fucking perseverance 105 00:06:03,720 --> 00:06:04,040 Speaker 5: by the. 106 00:06:04,040 --> 00:06:06,480 Speaker 3: Kilo, even in the years when she had zero. 107 00:06:06,560 --> 00:06:34,760 Speaker 8: Where we go. 108 00:06:29,440 --> 00:06:32,400 Speaker 5: Thirty years later, I had spent the intervening time trying 109 00:06:32,440 --> 00:06:35,080 Speaker 5: to get grants, get published, get some meetings lined up 110 00:06:35,120 --> 00:06:37,640 Speaker 5: with power players to make moneys and connections better. 111 00:06:37,720 --> 00:06:40,440 Speaker 3: All I got is spad was the emotions and rejection letters. 112 00:06:40,520 --> 00:06:43,200 Speaker 5: Sadly they thought my research was your far away, but 113 00:06:43,320 --> 00:06:46,440 Speaker 5: I stayed. The course continued down with Rna ended up 114 00:06:46,480 --> 00:06:48,880 Speaker 5: at pen met a scientists a nice man name of 115 00:06:49,000 --> 00:06:49,800 Speaker 5: Dru nice Man. 116 00:06:50,000 --> 00:06:52,120 Speaker 3: We drew up a nice plan finally from. 117 00:06:51,920 --> 00:06:54,320 Speaker 5: The work we paid dunes and made moves, had a 118 00:06:54,400 --> 00:06:57,039 Speaker 5: break free with your tech, but we stayed through Kate 119 00:06:57,120 --> 00:07:00,400 Speaker 5: Ruth Slope. But always new one day soon Team Adrew 120 00:07:00,440 --> 00:07:01,360 Speaker 5: would be ready. 121 00:07:01,120 --> 00:07:04,000 Speaker 3: To come and save you. Twenty twenty. Now the COVID 122 00:07:04,000 --> 00:07:07,039 Speaker 3: bhopas some of the two scientists got their three printers. 123 00:07:07,200 --> 00:07:07,560 Speaker 8: Quo. 124 00:07:07,839 --> 00:07:10,480 Speaker 5: That is that queen in history made dinners with my 125 00:07:10,640 --> 00:07:14,640 Speaker 5: scientists for years that had always been brims like me. Hey, Dica, 126 00:07:14,880 --> 00:07:18,480 Speaker 5: reco oh much, I'm super stinking to her science ific credo. 127 00:07:18,800 --> 00:07:21,240 Speaker 5: After this, we hope she'll be no longer in cotrido. 128 00:07:21,520 --> 00:07:23,240 Speaker 5: Now she'll have a name that we know. 129 00:07:23,400 --> 00:07:59,600 Speaker 6: So we go. 130 00:08:12,920 --> 00:08:16,120 Speaker 2: We'll be right back after a few words for the grownups. 131 00:08:20,800 --> 00:08:23,960 Speaker 7: Hey, Lee, here again, let's listen to Mary Golda Ross. 132 00:08:24,480 --> 00:08:28,200 Speaker 7: As you probably know, Mary Ross was Native American and 133 00:08:28,280 --> 00:08:31,920 Speaker 7: the very first Native American woman to work as an 134 00:08:31,960 --> 00:08:36,080 Speaker 7: aerospace engineer. So it was important to us that the 135 00:08:36,200 --> 00:08:39,400 Speaker 7: main vocalist in the song about Mary Ross was also 136 00:08:39,520 --> 00:08:44,720 Speaker 7: Native or indigenous. The song's vocalist is named Crystal Lightning 137 00:08:45,040 --> 00:08:49,520 Speaker 7: and Crystal is a First Nations actress, singer and rapper. 138 00:08:50,000 --> 00:08:54,680 Speaker 7: First Nations means that she's Indigenous or native to Canada. 139 00:08:55,400 --> 00:08:58,400 Speaker 7: We think she did an incredible job on this track 140 00:08:58,760 --> 00:09:01,720 Speaker 7: and wanted to shout her out. Remember you can find 141 00:09:01,720 --> 00:09:05,720 Speaker 7: the lyrics sheet by visiting storypyros dot com slash historical records. 142 00:09:06,200 --> 00:09:09,960 Speaker 7: Enough for me, enjoy the song Here's Mary Golda Ross 143 00:09:10,120 --> 00:09:11,600 Speaker 7: featuring Crystal Lightning. 144 00:09:22,280 --> 00:09:27,239 Speaker 4: I go by the name of Mary Golda Ross, aka 145 00:09:27,320 --> 00:09:33,120 Speaker 4: the first known Native American female aerospace engineer. I am 146 00:09:33,120 --> 00:09:38,120 Speaker 4: a mathematician, I am a Cherokee, and I am a trailblazer. 147 00:09:38,920 --> 00:09:39,480 Speaker 3: Here we go. 148 00:09:39,720 --> 00:09:43,440 Speaker 4: I was born in Oklahoma nineteen o eight, a small town. 149 00:09:43,280 --> 00:09:44,240 Speaker 3: Called park Hillward. 150 00:09:44,280 --> 00:09:47,200 Speaker 4: Life wasn't so great, but from a very early age 151 00:09:47,240 --> 00:09:50,280 Speaker 4: I showed a growth rate at learning to compute the 152 00:09:50,400 --> 00:09:53,000 Speaker 4: count and cold. Late I had a mind for math, 153 00:09:53,120 --> 00:09:55,560 Speaker 4: and I got math in my mind. But for Native girls, 154 00:09:55,600 --> 00:09:58,400 Speaker 4: you'll find it wasn't a good time. But I'm a 155 00:09:58,440 --> 00:10:02,280 Speaker 4: great grandchild, oh a Cherokee g so inside of me 156 00:10:02,360 --> 00:10:06,160 Speaker 4: a helldess belief. Those around me, they often agreed spend 157 00:10:06,160 --> 00:10:08,880 Speaker 4: my next few years with their help in pursuit of 158 00:10:08,960 --> 00:10:13,600 Speaker 4: my dreams knowledge. I sought it college with plotists, math class, 159 00:10:13,640 --> 00:10:16,680 Speaker 4: I taught it masters. I got it. But after the 160 00:10:16,800 --> 00:10:20,319 Speaker 4: next chapter of my biography, one in which the prodigy 161 00:10:20,600 --> 00:10:23,960 Speaker 4: in geometry wants to honestly do a stronoer me. But 162 00:10:24,120 --> 00:10:28,000 Speaker 4: misogyny in the field is the quantity of females as 163 00:10:28,080 --> 00:10:30,600 Speaker 4: near zero. It's hard to see a pass if you 164 00:10:30,679 --> 00:10:34,000 Speaker 4: can't see a hero. So we rode back to a reservation. 165 00:10:34,280 --> 00:10:36,959 Speaker 4: I worked in education. Maybe my dream was dead and 166 00:10:37,080 --> 00:10:39,640 Speaker 4: men instead for the next generation. 167 00:10:40,600 --> 00:10:44,360 Speaker 1: I never know where my pathletes plot. I solved all 168 00:10:44,440 --> 00:10:48,200 Speaker 1: my problems. I got math, leats, married old, I must 169 00:10:48,280 --> 00:10:52,240 Speaker 1: remember me check my legacy, engineer and Cherokee. 170 00:10:52,280 --> 00:10:55,360 Speaker 4: I did I advise the kids right? But I felt 171 00:10:55,400 --> 00:10:57,960 Speaker 4: I never ever really get that big life. But then 172 00:10:58,280 --> 00:11:02,679 Speaker 4: Germany starts picking up fight and my world changes quick overnight. 173 00:11:03,160 --> 00:11:06,120 Speaker 4: You might not know, but in World War Two men 174 00:11:06,160 --> 00:11:09,640 Speaker 4: were overseas siegings, so the girls would do new jobs 175 00:11:09,679 --> 00:11:10,880 Speaker 4: back before would never. 176 00:11:10,800 --> 00:11:11,520 Speaker 8: Hurt towards you. 177 00:11:11,840 --> 00:11:14,480 Speaker 4: A new world soars through and un worlds for you. 178 00:11:14,920 --> 00:11:16,000 Speaker 3: So what stab the sign? 179 00:11:16,400 --> 00:11:19,679 Speaker 4: Search for the sign and the coast signed. I headed 180 00:11:19,800 --> 00:11:23,280 Speaker 4: for the coastline to lick Heed on a course I 181 00:11:23,440 --> 00:11:26,160 Speaker 4: was charged, and a few didn't, and a few. 182 00:11:26,160 --> 00:11:29,079 Speaker 8: I was starting at the job I always. 183 00:11:28,880 --> 00:11:34,000 Speaker 4: Wanted do, an aeronautics making military place started silivery and rocketsylue. 184 00:11:34,120 --> 00:11:36,960 Speaker 4: Had that money in my pockets on the trade, would nope, 185 00:11:37,000 --> 00:11:40,720 Speaker 4: stopping within the war stopped and then. 186 00:11:40,640 --> 00:11:41,560 Speaker 8: The men came home. 187 00:11:41,760 --> 00:11:44,319 Speaker 4: So then I didn't know if they let me do 188 00:11:44,760 --> 00:11:48,199 Speaker 4: that work any more. Once again, every bosses at a 189 00:11:48,280 --> 00:11:50,640 Speaker 4: cross roads, at a loss for where to go. 190 00:11:50,960 --> 00:11:55,640 Speaker 1: Oh no, I never know where up at leaves pleat 191 00:11:55,760 --> 00:11:58,319 Speaker 1: us alve all my problems like at math leads. 192 00:11:58,600 --> 00:12:00,200 Speaker 5: Married gold up us. 193 00:12:00,320 --> 00:12:04,240 Speaker 1: Remember me check my legacy engineer and Cherokee. 194 00:12:06,480 --> 00:12:16,760 Speaker 2: She screas make him say, take a. 195 00:12:16,800 --> 00:12:20,920 Speaker 4: Girl multiplier with some passion and ash attract all distraction, 196 00:12:21,320 --> 00:12:24,760 Speaker 4: add a little traction and a fraction, a fashion and 197 00:12:24,880 --> 00:12:25,760 Speaker 4: a glass ceiling. 198 00:12:26,160 --> 00:12:27,640 Speaker 6: Would you get the answer? 199 00:12:27,760 --> 00:12:29,120 Speaker 3: Risk Mary Ross. 200 00:12:29,360 --> 00:12:32,559 Speaker 4: And if they would have said you can't do Matthew anymore, I'd. 201 00:12:32,400 --> 00:12:33,120 Speaker 8: Be very cross. 202 00:12:33,320 --> 00:12:36,280 Speaker 4: That would be a scary thought, because my mind absorbing 203 00:12:36,360 --> 00:12:38,559 Speaker 4: all these facts like the water, and my brain is 204 00:12:38,600 --> 00:12:41,160 Speaker 4: made of terry cloth. Yes, what I was so good 205 00:12:41,240 --> 00:12:43,600 Speaker 4: that they kept me here, Pay for me to train 206 00:12:43,679 --> 00:12:47,080 Speaker 4: again to be an engineer. Say for twenty plus years, 207 00:12:47,200 --> 00:12:50,160 Speaker 4: earn my pension here and did even more things than 208 00:12:50,240 --> 00:12:53,199 Speaker 4: I can mention here. Most of it is classified, but 209 00:12:53,400 --> 00:12:56,040 Speaker 4: the fighte to say you got Mary Ross to thing 210 00:12:56,200 --> 00:12:59,319 Speaker 4: for your flight. Today, only woman in the room where 211 00:12:59,360 --> 00:13:02,760 Speaker 4: the fellas is with the Melandine helping them new tech 212 00:13:02,920 --> 00:13:07,280 Speaker 4: development and writing manuals for the skunk Works. And after 213 00:13:07,440 --> 00:13:11,319 Speaker 4: I retired, I'm inspiring the young squirts, helping kids who 214 00:13:11,400 --> 00:13:13,959 Speaker 4: looked like me do what I did, be a hero 215 00:13:14,200 --> 00:13:15,839 Speaker 4: so they could dream big. 216 00:13:18,520 --> 00:13:38,200 Speaker 2: Jesus, Jesus see sweeze. Make him say Jesus see squeeze. 217 00:13:54,920 --> 00:13:57,440 Speaker 7: Hey Leah again, thanks for listening. We'll be back soon 218 00:13:57,600 --> 00:14:01,000 Speaker 7: with more episodes. In the meantime, grown ups, tell a 219 00:14:01,080 --> 00:14:03,559 Speaker 7: friend about the show. If you or kids you know 220 00:14:03,800 --> 00:14:06,960 Speaker 7: are enjoying it, it really helps us a lot. 221 00:14:07,920 --> 00:14:08,160 Speaker 8: Bye.