Taux de remplacement du revenu chez les aines au Canada : l'effet du veuvage et du divorce
Bibliographic record
Abstract
La securite financiere des veuves et des femmes divorcees durant la retraite est depuis longtemps un sujet de preoccupation. Dans le present article, la question est examinee dans le contexte de travaux de recherche sur les , c'est-a-dire la mesure dans laquelle le revenu familial durant les annees d'activite (ici, la mi-cinquantaine) est a mesure que les personnes approchent 80 ans. Fondee sur une base de donnees longitudinale et sur des modeles econometriques a effets fixes, l'etude a pour but d'evaluer l'effet du veuvage et du divorce apres l'age de 55 ans sur le taux de remplacement du revenu durant la retraite.
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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 | 0.018 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".