October 19, 2022 - Award-Winning Journalist Brandi Morin; Understanding Art; #MyJasper Memories
Bibliographic record
Abstract
5:35 | Why did journalist Brandi Morin have to go to international media outlets to find support for telling Indigenous stories in Canada? The Cree-Iroquois-French storyteller joins us just days after accepting the Edward R. Murrow Award in NYC. Brandi and Ryan talk about her years-long fight to bring Indigenous stories to the forefront. She also updates us on the Wet'Suwet'en/Coastal Gas Link story, and reflects on her time spent working for now-Premier Danielle Smith.CHECK OUT BRANDI'S MINI-SERIES ON MMIWG: https://www.aljazeera.com/features/longform/2022/1/5/if-she-was-white-she-would-still-be-here-canadas-mmiwgREAD HER RECENT REPORTING ON WET'SUWET'EN: https://ricochet.media/en/3886/gut-wrenching-drilling-starts-under-wetsuweten-riverORDER BRANDI'S BOOK: https://houseofanansi.com/products/our-voice-of-fire51:19 | Why does Real Talk producer John Hicks hate art? Of course he doesn't...but a tweet from Real Talker \\"Laurel\\" got us thinking about how and why we value art the way we do. Have a listen, and let us know what you think: talk@ryanjespersen.com 1:02:56 | The second weekend of the Jasper Dark Sky Festival is almost upon us! Ryan shares details of a few keynotes you won't want to miss. If you're out exploring Jasper, be sure to include #MyJasper and #RealTalkRJ on your Instagram or Twitter posts, and you could see your content featured on a future Wednesday edition of Real Talk!CHECK OUT THE JASPER DARK SKY FESTIVAL: https://jasperdarksky.travel/WEBSITE: https://ryanjespersen.com/TWITTER: https://twitter.com/RealTalkRJINSTAGRAM: https://www.instagram.com/RealTalkRJ/TIKTOK: https://www.tiktok.com/@realtalkrjPATREON: https://www.patreon.com/ryanjespersenThe views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.442 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".