Bibliographic record
Abstract
RÉSUMÉ En utilisant des données longitudinales de l’Enquête sur la dynamique du travail et du revenu, j’examine les effets de la santé et des régimes de pension offerts par les employeurs sur les décisions de retraite ce qui n’a pas été étudiés simultanément dans le contexte canadien. Les résultats indiquent que les régimes de pension offerts par les employeurs ont des effets incitatifs importants et significatifs sur le comportement de la retraite. Etre en mauvaise santé augmente considérablement la probabilité de prendre sa retraite, jusqu’à 25 points de pourcentage. Les résultats corroborent les résultats antérieures concernant l’importance relative de l’atténuation et le biais de la justification de l’auto-déclaration des mesures de santé. En outre les résultats confirment aussi les conclusions des recherches américains et européens, que l’état de santé et les régimes de pension offerts par les employeurs sont des déterminants importants de la retraite.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".