Unemployment duration during the 2008 recession : a statistical analysis of the Canadian experience
Bibliographic record
Abstract
Ce memoire de maitrise analyse l'impact de la crise financiere qui a debute en 2008 sur la duree au chomage au Canada, en se basant sur la base de donnees Enquete sur la dynamique du travail et du revenu (EDTR). On applique une analyse de survie en conditionnant selon le nombre de periodes de chomage. Il apparait que l'ensemble de caracteristiques qui expliquent la duree au chomage est different si on compare une periode avant la crise avec une periode qui couvre le debut de la crise. Il y a aussi une faible indication que ceux qui sont alles au chomage pendant la crise sont restes plus longtemps au chomage que ceux qui sont entres en chomage avant la crise. ______________________________________________________________________________ MOTS-CLES DE L’AUTEUR : crise financiere, duree au chomage, EDTR, analyse de survie, estimateur de Kaplan-Meier, regression de Cox, residus de Cox-Snell.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".