Dépendance à l’égard de l’aide sociale et réforme de la sécurité du revenu
Bibliographic record
Abstract
L’objectif principal de cet article est d’analyser les facteurs qui influencent la dynamique des séjours à l’aide sociale des ménages. On distingue quatre ensembles de variables : les variables qui affectent les conditions de travail ainsi que les préférences des ménages; les variables influençant le rationnement sur le marché du travail; les paramètres du programme d’aide et des autres programmes sociaux. On met en particulier l’accent sur la nature dynamique de la dépendance à l’aide en insistant sur les liens existant entre la participation présente et future à l’aide. On présente en outre les résultats empiriques tirés d’études économétriques sur la question et appliqués au Québec. Enfin, on tire des conclusions de cette analyse sur la récente réforme de l’aide sociale proposée par le gouvernement du Québec.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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".