June 16, 2022 - The Klondike Papers: Justin Ling Reports. BIPoC Outside Podcast Host Kris Cromwell
Bibliographic record
Abstract
8:42 | More Canadians believe conspiracy theories than you might think. Ryan and John start the show by taking a look at new stats from Abacus Data that show almost half of respondents believe wars, recessions, and elections are influenced by a small group of decision-makers. 18:56 | More and more people are talking about the Klondike Papers, a complicated, confusing, and somewhat outrageous conspiracy theory involving provincial and federal politicians across Canada (and around the world). Freelance investigative journalist Justin Ling did the digging, and shares what's legit and what's not. READ JUSTIN'S WORK: https://www.bugeyedandshameless.com/54:58 | Research shows nearly 90% of people participating in outdoor sport and recreation in Canada are white. What are the barriers standing in the way of BIPoC athletes (or would-be athletes) accessing outdoor recreation? BIPoC Outside host Kris Cromwell tells us why she started her podcast, and what she's learned through two seasons.CHECK OUT BIPoC OUTSIDE: https://bipocoutside.com/1:23:00 | Ryan and Johnny comment on the \\"over the phone from Toronto\\" firing of 55-year veteran sports columnist Terry Jones, including why Johnny's not his biggest fan. Things get personal in the Real Talk studio! REGISTER FOR THE REAL TALK GOLF CLASSIC, COMING UP JUNE 23:
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.633 | 0.003 |
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".