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Record W2791058401 · doi:10.7202/1043575ar

Donner ou prendre ? L’obligation de rendre dans l’économie de la puissance

2018· article· fr· W2791058401 on OpenAlexaffvenue
Émilie Bernier

Bibliographic record

VenuePolitique et Sociétés · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicPhilosophy, Sociology, Political Theory
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Depuis l’oeuvre de Mauss sur le don, l’obligation de rendre ce qui est donné est décrite dans la littérature anthropologique comme condition primordiale de toute institution humaine. Sur cette base, et suivant l’analyse spinoziste de Frédéric Lordon, nous suggérons que toute production anthropologique soit l’effet d’un certain intérêt, que nous disons essentiel, dont nous découvrons les structures et les affects dans les divers schèmes de la reddition, des sociétés qui pratiquent le don rituel aux sociétés de marché ou à État. À partir d’un examen de la réception des thèses de Mauss, nous arguons que ces schèmes de reddition, à commencer par les mises en scènes des jeux de don/contre-don, ne s’expliquent pas par la fonction d’institution symbolique du social qu’ils assurent effectivement, mais par le travail de marquage des corps qu’ils effectuent. En nous situant à l’intersection de Marx et de Nietzsche, nous exposons l’économie de la puissance qu’exigent les différentes effectuations historiques de l’endettement primordial, tel qu’il est établi par une pensée spinoziste de l’intérêt.

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)0.005
metaresearch head score (Gemma)0.009
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 score0.030
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.027
Scholarly communication0.0090.009
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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.

Opus teacher head0.087
GPT teacher head0.454
Teacher spread0.368 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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