Evaluation des reponses aux questions sur la satisfaction a l'egard de la vie dans les enquetes recentes de Statistique Canada
Bibliographic record
Abstract
Les mesures du bien etre subjectif occupent une place de plus en plus importante dans les discussions strategiques qui se tiennent a l'echelle internationale concernant la question de savoir quel est le meilleur moyen de mesurer le et le bien etre des populations nationales. Ce point a des consequences pour les organismes statistiques nationaux, car on leur demande d'incorporer a leurs enquetes menages des mesures du bien etre subjectif (Organisation de cooperation et de developpement economiques, 2013). Cela fait 25 ans que Statistique Canada incorpore a ses enquetes des mesures du bien etre subjectif - particulierement la satisfaction a l'egard de la vie - quoique le libelle des questions et les categories de reponses aient evolue avec le temps. Ainsi, l'Enquete sociale generale (ESG) et l'Enquete sur la sante dans les collectivites canadiennes (ESCC) de Statistique Canada fournissent une bonne occasion de proceder a un examen de la stabilite des reponses aux questions sur la satisfaction a l'egard de la vie et de leurs correlats au fil des ans a l'interieur d'un cadre analytique coherent.
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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 | 0.025 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".