Utilization of General Practitioners: A Comparison of Immigrant and Non-Immigrant Older Canadians
Bibliographic record
Abstract
Dans cet article, nous comparons, à partir de données de l’Enquête nationale sur la santé de la population, l’utilisation des services d’omnipraticiens que font deux groupes de personnes âgées : les immigrants et les Canadiens nés au pays. Nous avons recours à des méthodes de régression avec données chiffrées pour tenir compte du fait que le nombre de rendez-vous chez un omnipraticien est une variable entière non négative. Nous estimons les modèles pour l’échantillon dans son ensemble ainsi que pour les hommes et les femmes séparément. Nos résultats indiquent qu’il n’y a aucune différence notable entre les immigrants et les Canadiens nés au pays en matière d’utilisation des services d’omnipraticiens chez les personnes âgées.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".