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Record W1948993039 · doi:10.7202/1030846ar

« Faire crier le cochon »

2015· article· fr· W1948993039 on OpenAlexaffvenue
Frédéric Laugrand

Bibliographic record

VenueAnthropologie et Sociétés · 2015
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPhilosophyEthnologySociology

Abstract

fetched live from OpenAlex

Après un bref examen des liens que différentes sociétés établissent entre l’humain et le cochon, cet article décrit lepansula, un rituel de divination observé en 2012 chez les Alangans de Mindoro, aux Philippines. L’auteur montre comment le rituel se perpétue dans le contexte de la christianisation. Le porc/cochon y apparaît comme un médiateur entre différentes traditions. Doté de capacités divinatoires mais pas encore un agent à part entière, son corps et ses entrailles sont susceptibles d’informer les humains de leur futur destinée, à condition que ces derniers sachent interpréter les signes qu’il livre, d’où l’injonction que les participants réitèrent avant sa mise à mort : il faut savoir « faire crier » le cochon. Sa mort suscite peu d’affects de la part des Alangans qui attendent plutôt de lui qu’il facilite la communication entre les vivants, les non-humains et les ancêtres.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.015
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.395
GPT teacher head0.633
Teacher spread0.238 · 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 designQualitative
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

Citations9
Published2015
Admission routes2
Has abstractyes

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