The Richard Syrett Show - June 3, 2022 - Defending Jordan Peterson, Provincial Election Recap, & Democrat Charged in Vote-Fraud Scheme
Bibliographic record
Abstract
Catch up on what you missed on an episode of The Richard Syrett Show. Columnist at National Post & the Epoch Times Barbary Kay on defending Jordan Peterson's comments he made about Sports Illustrated's Swimsuit issue. \\"The Sofa Cinefile\\" with Jim Sallas. Lim Riddler riddles you a new one. Wyatt Claypool, Senior Correspondent for The National Telegraph, recaps the Ontario provincial election. Art Moore, author at World Net Daily and Co-Author of the best-selling book \\"See Something, Say Nothing,\\" on a Democrat being charged in vote-fraud scheme tied to '2000 Mules' probe. \\"Somethings Happening Here\\" with the \\"Host of Greg Carrasco Show, Greg Carrasco. Leader of the New Blue Party of Ontario Jim Karahalios on how his party fared in the provincial election.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.180 | 0.002 |
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".