MétaCan
Menu
← Back to cohort
Record W4391185969 · doi:10.7202/1108493ar

Un anthropologue du XXe siècle face à la diversité de genre et de sexualité

2024· article· fr· W4391185969 on OpenAlexvenueno aff
Christophe Broqua

Bibliographic record

VenueAnthropologie et Sociétés · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Pierre Clastres (1934-1977), anthropologue français de renom, a consacré l’essentiel de ses recherches à des populations « indiennes » du Paraguay. Surtout connu pour avoir proposé une théorie originale — et souvent contestée — du pouvoir non étatique, il a aussi consacré deux textes beaucoup moins remarqués à certaines formes d’inversion de genre. Parus en 1966 et 1972, avant l’essor des études anthropologiques sur l’« homosexualité » dans les pays non occidentaux (dans les années 1980), ces textes pionniers apportent des connaissances précieuses sur la diversité de genre et de sexualité. Chez les Guayaki, où l’on observe une séparation stricte des mondes masculin et féminin, deux objets incarnent cette division : l’arc (les hommes chassent) et le panier (les femmes portent). Or, Clastres décrit les situations de deux hommes porteurs de panier, qui diffèrent fortement l’une de l’autre. Parmi ses apports, cette étude invite à penser l’articulation entre genre et sexualité — dimensions trop souvent considérées séparément —, l’un des deux hommes porteurs de panier étant aussi décrit comme un kyrypy-meno (anus-faire l’amour) et accepté comme tel. Elle permet aussi de considérer la diversité de genre comme paradoxalement garante d’un ordre du genre reposant sur l’opposition entre deux catégories hiérarchisées et relativement figées.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.016
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.097
GPT teacher head0.522
Teacher spread0.424 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAnthropologie et Sociétés→Same topicSex work and related issues→French-language works237,207→