Bibliographic record
Abstract
RÉSUMÉ Canada et d'autres pays sont en train de changer l'âge d'admissibilité de pension public. Le bien-être de ces personnes qui quittent le marché du travail avant d'atteindre l'âge d'éligibilité de retraite est une préoccupation politique. Grâce à l'utilisation des données de l'Enquête sur la dynamique du travail et du revenu (EDTR), cette étude porte sur les pré-retraites par (a) l'examination des revenus de ceux qui ne travaillent pas à un âge proche de la retraite, et (b) examinant comment ces Canadiens ont evité des difficultés économiques. Il a constaté que près des trois quarts de ceux qui ne travaillent pas ont été en mesure d'éviter une situation de faible revenu. Le plus important pour éviter les revenus bas sont d'autres sources de revenus de la famille, une bonne santé, et les revenus de pensions liées à l'emploi.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".