Federalism and the politics of the Canada and Quebec Pension Plans
Bibliographic record
Abstract
Abstract Drawing on the literature on federalism and public policy, the present article explores the recent politics of two highly-similar and closely integrated Canadian public pension programs created in the mid-1960s: the Canada Pension Plan (CPP) and the Quebec Pension Plan (QPP). This article argues that the parallel evolution of CPP/QPP can be understood by examining how the unique jurisdictional arrangements for the CPP/QPP interacted with other factors to generate by these linked programs have led to the emergence of specific federalism policy dynamics, while muting or foreclosing other potential policy dynamics. As shown, governments have engaged in a process of ‘collusive benchmarking’ that has limited the scope of the available policy options. Differing demographic trends in Quebec and the ‘Rest of Canada’ have strained but also reinforced this policymaking dynamic in recent years. Simultaneously, intergovernmental race to the top dynamics have facilitated the recent push for both CPP and, later, QPP expansion.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".