Bibliographic record
Abstract
La vaccination est l’une des interventions les plus efficaces en santé publique après l’accès à l’eau potable. Bien plus qu’une technologie biomédicale, elle est profondément ancrée dans des contextes historiques, sociaux et politiques. Si l’histoire de la vaccination remonte à la variolisation en Asie et en Afrique, l’anthropologie s’y est intéressée plus récemment, notamment avec le Programme élargi de vaccination de l’OMS. Les anthropologues analysent les résistances vaccinales non comme un simple refus irrationnel, mais comme des réactions enracinées dans des expériences de marginalisation, des mémoires coloniales ou des tensions sociopolitiques. Ils examinent aussi l’influence des rumeurs, des espaces numériques, des relations soignants-soignés et des inégalités d’accès. Cette approche critique et contextuelle relie le micro social au macro social.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 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; both teacher heads agree on what is shown here.
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".