Les aidants en emploi au Canada : Recueil de fiches infographiques
Bibliographic record
Abstract
Nous sommes heureux d’annoncer la parution de notre toute dernière copublication sur les aidants en emploi au Canada, produite en partenariat avec le Programme de recherche sur les politiques et les pratiques relatives au vieillissement (RAPP). Ce recueil présente six fiches infographiques, chacune offrant un aperçu de divers aspects de la prestation de soins, ainsi que de la valeur et de la contribution des aidants familiaux au Canada. Conçues conjointement par Andrew Magnaye, Choong Kim, Jacquie Eales et Janet Fast, ces fiches infographiques proposent une mise à jour sur les principaux indicateurs concernant les aidants en emploi, à partir des données d’analyse de Statistique Canada obtenues dans le cadre de l’Enquête sociale générale de 2018 sur les soins donnés et reçus.
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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.018 | 0.026 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".