Bibliographic record
Abstract
Depuis quelques décennies, les enjeux de la médecine et de la santé publique se sont réorganisés autour de transformations faisant de la santé une véritable norme. Passant d’entités discrètes à des variables continues, les deux composantes du couple santé/maladie sont désormais disposées sur un continuum borné, d’un côté, par le noyau dur de la maladie avérée et de l’autre, par sa valeur antinomique qu’incarne la santé parfaite. Entre ces pôles, l’identification de niveaux de risque constitue le principal dispositif qui conduit à une reconfiguration de la notion de prévention sur la base d’un recours croissant au médicament. À travers trois cas, l’hypertension artérielle, la dépression et la dysfonction érectile, cet article démontre comment l’évolution des raisonnements cliniques, l’arrivée de nouveaux médicaments et la mobilisation de la santé publique se conjuguent pour substituer la relation de fonction propre aux raisonnements médicaux à la relation de sens qui caractérise les dynamiques en société.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".