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Record W1502775799 · doi:10.7202/029723ar

L’anthropologie à l’épreuve de la décolonisation de la recherche dans les études autochtones

2009· article· fr· W1502775799 on OpenAlex
Laurent Jérôme

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnthropologie et Sociétés · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

L’objectif de cet article est d’analyser à la fois l’importance du terrain dans la production du savoir anthropologique et la place des anthropologues dans un contexte de décolonisation de la recherche. L’auteur s’attarde sur le travail de terrain et sur la pratique ethnographique comme processus dynamique mettant en jeu des concepts tels que ceux de créativité, d’improvisation, d’implication et de réflexivité, particulièrement importants lorsqu’il s’agit de s’intéresser aux thèmes très sensibles de la spiritualité et de la guérison chez les Premières Nations du Québec. À partir d’une réflexion détachée sur une expérience de terrain avec les Atikamekw (Centre-du-Québec) marquée par des situations de contestation, l’auteur oriente ses réflexions autour de différentes questions : qu’est-ce qu’un terrain anthropologique aujourd’hui? Comment se positionner en tant que chercheur dans le contexte des études autochtones, contexte marqué par une contestation des méthodes de recherche et par la multiplication des protocoles de recherche?

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gptMetaresearchScience and technology studies
Domain: Methods · Genre: Empirical
About the Canadian research system: yes · About a Canadian topic: yes
Qualitativehigh
grokMetaresearchScience and technology studies
Domain: Methods · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: yes
Theoretical or conceptualhigh
opusMetaresearchScience and technology studies
Domain: Methods · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: yes
Theoretical or conceptualmedium
models splitAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.020
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.913
GPT teacher head0.729
Teacher spread0.184 · 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