Partisanship, Globalization, and Canadian Labour Market Policy: Four Provinces in Comparative Perspective
Bibliographic record
Abstract
Acknowledgments Part 1: Context * Partisanship, Globalization, and Political-Economic Institutions in Labour Market Policy-Making * Welfare State, Production Regime, and Party System in Four Canadian Provinces * Historical and Federal Context of Canadian Labour Market Policy Part 2: Case Studies * Ontario: Policy Continuity amid Institutional Uncertainty * Quebec: Legacies of Political-Economic Distinctiveness * British Columbia: Right Hegemony in a Polarized Liberal Polity * Alberta: One-Party Dominance and Neo-liberalism * Social Assistance and Employment: An Anomaly? Part 3: Reflection * A Perspective from Abroad: Coordinative Institutions and Labour Market Reform in Germany STEFFEN SCHNEIDER * Conclusion: Stepping Back and Looking Forward Appendix: Criteria for Rating Labour Market Policy Change Notes Index
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".