Indice de défavorisation matérielle et sociale : son application au secteur de la santé et du bien-être
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.014 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it