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Record W2898730435 · doi:10.7202/1052657ar

Lorsque les oiseaux donnent le rythme

2018· article· fr· W2898730435 on OpenAlexaffvenue
Frédéric Laugrand, Antoine Laugrand, Guy Tremblay

Bibliographic record

VenueAnthropologie et Sociétés · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArtGeographyEthnologySociology

Abstract

fetched live from OpenAlex

Les Blaans de Little Baguio vivent d’agriculture et de chasse dans des montagnes situées au sud-est de l’île de Mindanao (Philippines). Ils ont été exposés au christianisme, mais ont conservé nombre de leurs traditions. Les auteurs se concentrent ici sur les connaissances et les relations que les Blaans entretiennent avec les oiseaux qui les entourent. Ils montrent que les oiseaux structurent leur temporalité – en particulier la cosmogonie et la vie quotidienne –, et définissent en partie leurs rituels et leurs règles sociales. Considérés comme d’anciens humains, les oiseaux constituent des médiateurs qui relient mieux que d’autres animaux les mondes visible et invisible. Dans cette perspective, les Blaans ne cherchent pas tant à prédire ou à prévoir l’avenir qu’à suivre les rythmes que leur donnent les oiseaux.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.006
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.338
GPT teacher head0.551
Teacher spread0.212 · 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

Citations6
Published2018
Admission routes2
Has abstractyes

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