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Record W2019243504 · doi:10.7202/015638ar

Entre politiques du vivant et politiques de la vie

2003· article· fr· W2019243504 on OpenAlexaffvenue
Didier Fassin

Bibliographic record

VenueAnthropologie et Sociétés · 2003
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

RÉSUMÉ Entre politiques du vivant et politiques de la vie. Pour une anthropologie de la santé Du point de vue de l'anthropologie, la santé est tout à la fois autre chose et bien plus que l'envers de la maladie. Elle est un rapport entre l'être physique et psychique, d'un côté, le monde social et politique, de l'autre; rapport qui n'est pas un donné physiologique ou sensible, mais l'expression d'une construction historique. L'objet de l'anthropologie de la santé réside donc dans les biologiques, c'est-à-dire les logiques sociales qui mettent les corps à l'épreuve du politique. Après avoir esquissé un tableau de l'anthropologie médicale dans sa diversité, mais aussi ses permanences, on se propose de caractériser l'anthropologie de la santé. Deux orientations sont explorées : la première relie les processus d'objectivation et de subjectivation à l'œuvre, dégageant plus particulièrement la centralité du concept de bio-légitimité; la seconde analyse les modalités de la globalisation de l'ordre sanitaire, en s'interrogeant sur sa signification, notamment autour de l'émergence d'une raison humanitaire. La conclusion propose une synthèse entre politiques du vivant et politiques de la vie. Mots clés : Fassin, anthropologie de la santé, anthropologie médicale, biopolitique, subjectivation, globalisation, raison humanitaire

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.015
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.220
GPT teacher head0.631
Teacher spread0.411 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations92
Published2003
Admission routes2
Has abstractyes

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