Podcast - Jody Wilson-Raybould, Michael Cohen and Kim Jong Un.
Bibliographic record
Abstract
Photo: (THE CANADIAN PRESS/Adrian Wyld)The Trudeau government's worst fears came true as the former Attorney General, Jody Wilson-Raybould, spoke of continual attempts to have her to change her decision to not interfere in the SNC-Lavalin court case. Guest: Duff Conacher, Cofounder of Democracy Watch, adjunct professor at University of Ottawa.JWR was not the only person on the stand yesterday. In the U.S., Michael Cohen spoke Congress to paint a picture of Donald Trump, calling him a con-man, a racist and a cheat. How did this play out?Guest: Laura Babcock. President, PowerGroup.The summit between Trump and Kim Jong Un has been called off. What happened?Guest: Mark Haichin, PhD Candidate in International Affairs - International Conflict Management and Resolution, Norman Paterson School of International Affairs, Carleton University, Ottawa
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".