Comparing employment policy governance regimes in <scp>C</scp>anada and the <scp>E</scp>uropean <scp>U</scp>nion
Bibliographic record
Abstract
Abstract This article assesses the performance of C anada's employment policy governance regime post‐1996 by explicitly comparing C anadian approaches to those used in the E uropean U nion ( EU ) through the open method of coordination ( OMC ). It concludes that C anada has moved so far along the decentralization continuum — with 13 provincial systems as well as a federal‐only system in place — that coordination, coherence, mutual learning and information sharing on a pan‐ C anadian basis have been lost. While EU OMC approaches hold promise, to be realized stakeholders would need to become more engaged in the policy domain and provinces, rather than the federal government, must take the initiative for enhanced coordination.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".