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Record W2040162320 · doi:10.7202/015536ar

Le sens de l' " alliance " religieuse. " Mari " d'esprit, " femme " de dieu

2003· article· fr· W2040162320 on OpenAlexvenueno aff
Roberte Hamayón

Bibliographic record

VenueAnthropologie et Sociétés · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesAlliancePhilosophyPossession (linguistics)Political science

Abstract

fetched live from OpenAlex

RÉSUMÉ Le sens de l'alliance " religieuse : " mari " d'esprit, " femme " de dieu L'auteur propose une réflexion sur la notion d'alliance matrimoniale telle qu'elle est utilisée métaphoriquement pour désigner un mode de relation entre humains et instances surnaturelles. Cette réflexion est issue de l'analyse des données provenant des sociétés chamanistes qui vivent de chasse dans la forêt sibérienne. L'objet essentiel de la fonction chamanique est de traiter en « alliés » les esprits des animaux sauvages en sorte de faire de la chasse un « échange ». L'allié humain, représenté par son chamane, est en position de « mari » et l'allié esprit du gibier, en position de « femme ». Le cas sibérien est posé en référence pour entreprendre une brève exploration comparative centrée sur l'orientation de l'alliance dans divers systèmes religieux. Sous cet angle, il apparaît que l'« alliance» de possession est conçue en sens inverse, de même que l'« Alliance » des religions abrahamiques : c'est au partenaire humain, individuel ou collectif, qu'incombé la position d'« épouse », le partenaire divin étant dans celle de « mari ». Quelques corollaires de ces deux positions polaires sont relevés. Mots-clés : Hamayon, alliance, mariage, mari, femme, chamanisme, possession, métaphore, chance, Sibérie

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0030.002
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.334
GPT teacher head0.577
Teacher spread0.243 · 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

Citations19
Published2003
Admission routes1
Has abstractyes

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