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Record W1498493693 · doi:10.7202/016371ar

La biopolitique n’est pas une politique de la vie

2007· article· fr· W1498493693 on OpenAlexvenueno aff
Didier Fassin

Bibliographic record

VenueSociologie et sociétés · 2007
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Autour de son cours au Collège de France de 1975-1976 et du premier volume de sonHistoire de la sexualité, Michel Foucault avança, de manière fugace, mais décisive, une théorie du biopouvoir dont la composante la plus remarquable était la biopolitique. Ce concept, qu’il délaissa lui-même au profit d’autres pistes de recherche, connut néanmoins une fortune considérable dans les sciences sociales. Bien plus pourtant qu’une véritable politique de la vie, que l’étymologie du mot paraissait annoncer, la biopolitique s’est révélée être un gouvernement des populations, des conduites et des pratiques, laissant échapper ce qu’on peut appeler la vie elle-même. Reprenant une double ligne de réflexion à partir de Georges Canguilhem, dont il fut l’élève, et d’Hannah Arendt, dont il ignora l’oeuvre, on se propose dans ce texte de retourner à la substance des politiques de la vie, entre vivant et vécu, entrezoéetbios, et, à partir de travaux empiriques conduits sur les réfugiés en France et sur le sida en Afrique du Sud, d’appréhender certains des enjeux de ces politiques. Il s’agit en particulier de penser la vie du point de vue à la fois des inégalités et des légitimités.

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 categoriesnone
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 score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.019
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0130.001

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 head0.273
GPT teacher head0.507
Teacher spread0.234 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations74
Published2007
Admission routes1
Has abstractyes

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