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Record W2039249289 · doi:10.7202/038599ar

Régler ses conflits dans un cadre spirituel : pouvoir, réparation et systèmes religieux chez les Anicinabek1 du Québec

2009· article· fr· W2039249289 on OpenAlexaffvenueabout
Marie‐Pierre Bousquet

Bibliographic record

VenueCriminologie · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Le présent article examine les conditions contemporaines d’assise de l’autorité dans les communautés algonquiennes du Québec, en analysant la régulation des conflits hors du contexte de la justice pénale. Qui départage les litiges, apaise les dissensions et rétablit l’ordre ? Comment une personne peut-elle acquérir ce pouvoir ? À la lumière de données recueillies lors de diverses enquêtes ethnographiques, replacées dans leur contexte historique, je montre l’importance de la mobilisation des religions, ou de ceux qui les dispensent, pour trouver des terrains d’entente. En particulier, la spiritualité panindienne joue un rôle croissant de restructuration des sociétés autochtones, que les gens y adhèrent ou non. Pour comprendre le phénomène, j’émets l’hypothèse que cette spiritualité, sans pour autant faire l’unanimité, offre une idéologie explicative sur l’origine des désordres qui fournit un cadre efficace de réconciliation. La religion n’est peut-être alors pas toujours l’opium du peuple, mais aussi, parfois, le moyen de s’en désintoxiquer…

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)0.003
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 score0.043
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.007
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.133
GPT teacher head0.360
Teacher spread0.228 · 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

Citations10
Published2009
Admission routes3
Has abstractyes

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