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Record W2098911519 · doi:10.7202/1027878ar

Cooptation et résistance dans la planification forestière concertée au Québec

2014· article· fr· W2098911519 on OpenAlexafffundvenueabout
Jean-François Fortier, Stephen Wyatt

Bibliographic record

VenueRecherches amérindiennes au Québec · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité de MonctonUniversité Laval
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Définies comme des processus de concertation où les utilisateurs du territoire sont invités à élaborer une vision commune de la gestion des territoires forestiers, les tables de gestion intégrée des ressources et du territoire (« tables GIRT ») sont apparues au Québec en 2010. Cet article explore la participation des Atikamekw Nehirowisiwok à ces tables, et contrairement à d’autres études qui tendent à interpréter les processus collaboratifs comme un modèle idéal « gagnant-gagnant » ou comme une stratégie de cooptation de la participation autochtone, les auteurs proposent ici d’examiner les processus de concertation comme un lieu où se manifestent à la fois des formes de résistance et de cooptation. De plus, les résultats démontrent que la participation autochtone aux tables GIRT gagne à être comprise en tenant compte des autres processus dans lesquels les Premières Nations sont également engagées.

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 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.591
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.094
GPT teacher head0.317
Teacher spread0.222 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations9
Published2014
Admission routes4
Has abstractyes

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