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Record W4390838444 · doi:10.1177/00084298231213939

Guérison et transformations rituelles dans les mondes autochtones au Québec : l’expérience de la loge à sudation ( <i>sweat lodge</i> ) comme acte politique chez les Atikamekw Nehirowisiwok

2024· article· en· W4390838444 on OpenAlexafffundvenueabout
Laurent Jérôme

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité du Québec à Montréal
FundersFonds de Recherche du Québec-Société et Culture
KeywordsInscribed figureContext (archaeology)IndigenousHumanitiesPoliticsColonialismArtSociologyHistoryPolitical scienceArchaeologyLawEcologyBiology

Abstract

fetched live from OpenAlex

In this article, we will analyze the political significance and the dynamics of transformation related to the sweat lodge ritual in the indigenous context of Quebec. While tracing the historical context of this ritual practice, which is well known throughout the Americas, we will show how it can be understood through the relational dynamics that it allows to set up : relations between the actors of the ritual, between the participants and the territory, between human and non-human world, between the present and the colonial history, between future perspectives and the heritage of ancestors. This relational perspective of ritual allows us to question the way in which it is inscribed in different healing initiatives while referring to current processes of political affirmation in the indigenous context.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.218

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 studies0.0180.018
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.129
GPT teacher head0.463
Teacher spread0.334 · 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
Published2024
Admission routes4
Has abstractyes

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