Ambassadors' and Minsters' Roundtable - What are the Prospects for High-Level Coordination?
Bibliographic record
Abstract
PETRAS: Our next panel consists of ambassadors and ministers roundtable, and their selection is "what are the prospects for high-level coordination in Canada and the United States?Our moderator for this panel is Consul General Joseph Comartin.He is the Consul General for Canada in Detroit, and he is a lawyer.He started out his practice in Windsor, Ontario, and then he decided to go into politics, and for 15 years, he was a member of the New Democratic Party in the House of Commons in Canada.He was --he got very strong support from the local union members with a seat in the House of Commons.He was reelected four times and was the opposition house leader from 2011 to 2012.He is now Consul General for Canada in Detroit, and he is going to introduce this panel and lead
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.094 | 0.015 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".