Improving the Labour Market Incentives of Canada's Public Pensions
Bibliographic record
Abstract
Dans cet article, nous analysons les mesures incitatives à la retraite imposées par le régime de retraite public au Canada. Une série de stimulants illustrent les diverses composantes du régime de retraite qui motivent les Canadiens âgés à continuer de travailler ou qui, au contraire, les dissuadent de le faire. Nous montrons d’abord que les mesures de dissuasion les plus importantes sont reliées aux prestations fondées sur le revenu du Supplément de revenu garanti, qui, interagissant avec le Régime de pensions du Canada/Régime de rentes du Québec et avec le revenu gagné, fait que, pour les moins nantis, le choix de continuer à travailler est moins rentable sur le plan financier. Ensuite, nous illustrons comment diverses réformes des politiques pourraient atténuer certains aspects du problème des mesures incitatives, et éliminer partiellement les barrières qui démotivent les Canadiens âgés de continuer à participer au marché du travail.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".