Bibliographic record
Abstract
Dans l’esprit de tous, la relation entre patient et médecin est simple et naturelle : l’un demande des soins, l’autre les lui prodigue. La réalité est souvent très différente. Soigner est peut-être naturel quand il s’agit de nos proches, mais les professionnels de la santé n’ont souvent ni la formation ni la motivation pour exercer dans les conditions adéquates. Un peu partout, le monde médical reste marqué par une culture peu propice au souci et au respect de l’autre. Certaines attitudes médicales peuvent même être maltraitantes, en particulier à l’égard des femmes. S’appuyant sur des exemples tirés des contextes français et québécois, Marc Zaffran a voulu aller au fond de cette question, qu’il a souvent abordée dans ses différents ouvrages : comment la relation entre patient et médecin peut-elle cesser d’être un rapport de force et devenir, pleinement, une relation de soin - c’est à dire d’entraide, de soutien et de partage.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".