Aperçu - Mise à jour sur la santé mentale positive chez les adultes au Canada
Bibliographic record
Abstract
Cet aperçu présente la dernière mise à jour des estimations du Cadre d’indicateurs de surveillance de la santé mentale positive pour les adultes de 18 ans et plus. À l’aide des données de l’Enquête sur la santé dans les collectivités canadiennes de 2015 et de 2017, nous avons calculé la prévalence d’une santé mentale positive et de ses déterminants connexes. Les estimations des résultats en matière de santé mentale positive pour les adultes variaient entre 68,1 % et 87,1 %. Nous avons aussi exploré les associations entre divers facteurs sociodémographiques et une santé mentale positive chez les adultes au Canada. Nos résultats font état de différences sociodémographiques dans les cotes portant sur la santé mentale autoévaluée, le bonheur, la satisfaction à l’égard de la vie, le bien-être psychologique et le bien-être social.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".