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Record W4400250027 · doi:10.15366/reps2024.9.2.007

Généalogie des lieux et corésistances autochtones : transmissions des savoirs territoriaux en contextes d’extractivisme de masse

2024· article· fr· W4400250027 on OpenAlexaffabout
Marie-Ève Drouin-Gagné, Benoit Éthier, Rolando Iván Magaña Canul, Adam Archambault

Bibliographic record

VenueRevista Educación Política y Sociedad · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation in Rural Contexts
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article présente et analyse une rencontre internationale entre cinq Nations Autochtones du Canada, du Chili et du Mexique, qui s’est tenue à Wemotaci, au Canada, en 2023. Les nations participant à cette rencontre, organisée dans le cadre d'un partenariat sur la transmission des savoirs dans les contextes autochtones, ont centré leurs discussions sur les pédagogies territoriales comme outils de résistance, car elles partagent une lutte commune contre l'extractivisme. Dans cette optique, le cadre théorique présenté articule de manière originale les concepts de résistance, de pédagogie territoriale et de généalogie des lieux. Finalement, la rencontre est analysée comme une démarche de décolonisation de la recherche en contexte autochtone qui s'appuie sur le partage des récits et de cérémonies et qui contribue au mouvement de co-résistance inter-nationale par la reconnexion entre Nations Autochtones et avec leurs territoires.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.260
Threshold uncertainty score0.517

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.015
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.062
GPT teacher head0.403
Teacher spread0.341 · 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

Citations4
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueRevista Educación Política y SociedadSame topicEducation in Rural ContextsFrench-language works237,207