Inégalités sociales de santé et rapports de pouvoir : Covid-19 au Québec
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
This article proposes to clarify the concept of social inequality in health: theoretically first, then by mobilizing it on a specific study field, the Covid-19 pandemic in Quebec during the spring of 2020.It begins with a discussion of various definitions of social inequalities in health and then proposes the following one: these are differences in health observed between several social groups and which result from the power relation(s) between these groups.Applying this definition to the Covid-19 pandemic occurs in two stages. First, power relations that differentiate exposure to the various risks caused by the pandemic are identified: being infected, dying of it, but also seeing one's health affected by the pandemic without necessarily being infected with the new coronavirus. The study of this latter risk requires monitoring exposure to social determinants of health that is unbalanced by the context of the pandemic: income, social network, care and social services, education, stigma.This first step of the analysis considers power relations taken in isolation from each other. The second explores their articulation. Its common thread is the ethno-racial relation, of which are analyzed the links with socio-economic relation. Finally, a systemic perspective of inequalities is drawn, essential for identifying actions to be taken to fight against social inequalities in health.
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it