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Record W4386692981 · doi:10.7202/1105531ar

Le travail gratuit

2023· article· fr· W4386692981 on OpenAlexaffvenue
Martin Hébert

Bibliographic record

VenueAnthropologie et Sociétés · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

La description des systèmes de charges civiles et religieuses occupe une place considérable dans les ethnographies consacrées aux communautés autochtones mésoaméricaines. On y voit souvent un principe organisateur de la vie collective, une source de cohésion sociale. Chez les Me’phaa de l’état du Guerrero au Mexique, offrir du travail gratuit est interprété comme un signe du sacrifice de l’individu pour le bien du groupe et comme une contribution au projet historique des « grands ancêtres » (xabo niki), dont l’ambition fondatrice était de voir prospérer la communauté pour de multiples générations. À cette réflexivité associée de longue date aux prestations de travail gratuit, nous en voyons une autre s’ajouter, celle voulant que le travail gratuit soit un marqueur identitaire renvoyant à une manière me’phaa de faire communauté. Utilisant la notion de futurismes autochtones, nous explorons ici les manières dont la production sociale de l’imaginaire entourant le travail gratuit s’inscrit à la fois dans la continuité de normativités me’phaa antérieures et dans un processus d’émergence de nouvelles manières d’intégrer le travail gratuit aux identités mobilisées par les Me’phaa.

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)0.002
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 score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.006
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0310.005

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 head0.248
GPT teacher head0.570
Teacher spread0.322 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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