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Record W4306973269 · doi:10.4000/ateliers.16604

Mille quatre-vingts bougies

2022· article· fr· W4306973269 on OpenAlexaff
Véronique Gruca

Bibliographic record

VenueAteliers d anthropologie · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article présente un rituel chamanique bouriate observé en juillet 2015 au nord-est de la Mongolie, au village de Bayan-Uul (région du Dornod). Lors de ce rituel appelé buyan, les participants « font des mérites » à l’intention de deux défunts afin que leurs âmes puissent se réincarner avec succès. Cet article propose une analyse du rituel centrée sur les interactions et la répartition des participants dans le temps et l’espace qui, ensemble, concourent à mettre en lumière les reconfigurations des relations entre les participants. Cette approche permet de montrer comment la chamane se positionne en tant que médiatrice au sein du rituel et parvient à établir une communication entre les vivants et les morts. Ce mode de médiation particulier avec l’invisible met en relief la nature intrinsèquement ambiguë des relations que les Mongols entretiennent avec les défunts.

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 score0.054
Threshold uncertainty score0.107

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 studies0.0050.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.073
GPT teacher head0.371
Teacher spread0.298 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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