Les effets du cancer sur l'emploi et les gains des survivants du cancer
Bibliographic record
Abstract
l'etude examine les effets du cancer sur la situation d'emploi et sur les gains annuels des survivants du cancer qui avaient un niveau eleve de participation a la vie active avant leur diagnostic. Le groupe de controle est compose de travailleurs semblables qui n?ont jamais recu de diagnostic de cancer. L'etude est fondee sur un fichier de couplage de Statistique Canada qui regroupe des microdonnees du Recensement de 1991, du Registre canadien du cancer, des dossiers de deces et des dossiers fiscaux des particuliers. L'etude evalue les changements dans l'ampleur des effets du cancer au cours des trois premieres annees suivant l'annee du diagnostic au moyen d'un grand echantillon de survivants du cancer qui ont recu un diagnostic dans la plage d'age de 25 a 61 ans. La strategie empirique combine des modeles d'appariement et des modeles de regression pour traiter les differences observees et non observees entre l'echantillon de survivants du cancer et l'echantillon de controle, et pour ameliorer l'inference causale.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".