Social Policy and Intergovernmental Relations in Canada: Understanding the Failure of SUFA from a Quebec Perspective
Bibliographic record
Abstract
The Social Union Framework Agreement (SUFA) was signed in February 1999 by the federal government, nine provinces and the territories. Only the Quebec government refused to endorse SUFA. To this day, SUFA is the only nonconstitutional agreement attempting to clarify the respective roles of federal and provincial governments in the areas of health care, social services, post-secondary education, social assistance and training. It grew out of a concern to limit the federal spending power in areas of exclusive provincial jurisdiction, ensure adequate, stable and sustainable funding for social programs, prevent duplication and overlap, accentuate transparency and public accountability, and manage intergovernmental disputes.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.034 | 0.028 |
| Scholarly communication | 0.023 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".