Québec's Participation in the Conference of New England Governors and Eastern Canadian Premiers and the Council of Great Lakes Governors, 2012–2022
Bibliographic record
Abstract
Abstract This chapter focuses on Québec's participation in the Conference of New England Governors and Eastern Canadian Premiers (CNEG-ECP) and the Conference of Great Lakes and St. Lawrence Governors and Premiers (CGLG) over a period of 10 years, from 2012 to 2022, during which three governments of three different parties have been at the helm of “La Belle Province”: The Parti Québécois’ Pauline Marois government (2012–2014); the Parti Libéral’s Philippe Couillard government (2014–2018), and that of the Coalition Avenir Québec’s François Legault government (2018–2022). The Marois government emphasized environmental issues, while the Couillard government subordinated them to concerns focusing on economic development. This emphasis on economic objectives became more pronounced under the Legault government. At the same time, Québec's interest in the Great Lakes region grew, shifting its historical focus from the New England region and leading to a greater involvement in the CGLG.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 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; 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".