Indice de défavorisation matérielle et sociale : son application au secteur de la santé et du bien-être
Bibliographic record
Abstract
The interest in measuring social inequalities in health in Québec is relatively recent and has been hampered by the lack of socioeconomic information in the administrative databases on health. To compensate for this lack of data, a material and social deprivation index has been introduced into a dozen of these databases, making it possible to carry out numerous analyses. The present article describes the design and uses of this index and underlines the importance of social inequalities in terms of population health (healthy life expectancy), certain health and social problems (intentional or unintentional injuries, problems experienced by youth), use of health and social services at the national (hospitalization, day surgery and long-term care facilities) and local (services offered by local community service centres) levels, and allocation of public resources (physician compensation and funding of community organizations). The advantages and limitations of this index are also put into perspective, as are the possibilities it offers for research and decision-making.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".