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Record W4405611177 · doi:10.7202/1114867ar

Du sens et de la connaissance en anthropologie

2024· article· fr· W4405611177 on OpenAlexvenueno aff
Hélène Jarousseau

Bibliographic record

VenueAnthropologie et Sociétés · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La discipline anthropologique, née en Occident, s’est développée dans le contexte des empires coloniaux. Elle s’est donné pour tâche de rendre compte de la diversité des sociétés et des cultures humaines ainsi que de l’unité de l’homme. Au lendemain de la Seconde Guerre mondiale, les colonies accèdent à l’indépendance. Cette situation amène une nouvelle génération d’anthropologues à renouveler profondément la perspective, en soulignant l’asymétrie des rapports entre sociétés colonisatrices et colonisées. La diversité masquerait les inégalités. Ancienne colonie française, devenue département français d’outre-mer en 1946, la société réunionnaise s’inscrit dans les enjeux des empires coloniaux européens ayant engendré localement de fortes inégalités sociales et culturelles. Mais ce n’est qu’à partir des années 1970 que les premiers travaux anthropologiques à La Réunion se sont développés. Cet article propose d’explorer ces derniers en les confrontant aux contextes dans lesquels ils ont pris naissance pour mieux appréhender les savoirs qui en ont résulté. Cette démarche a permis de mettre au jour les biais analytiques qui ont caractérisé mes travaux. Le travail de déconstruction réalisé interroge les connaissances produites sur la période 1970-2000 sans renoncer à concevoir et à utiliser des outils au service d’une connaissance heuristique.

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)0.015
metaresearch head score (Gemma)0.010
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 score0.018
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0080.076
Scholarly communication0.0180.012
Open science0.0010.008
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.172
GPT teacher head0.584
Teacher spread0.412 · 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
Published2024
Admission routes1
Has abstractyes

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