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Record W1876744050 · doi:10.7202/1024106ar

Ejigabwîn

2014· article· fr· W1876744050 on OpenAlexaffvenueabout
Marie Saint‐Arnaud, Charlie Papatie

Bibliographic record

VenueRecherches amérindiennes au Québec · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La forêt est au coeur du paysage culturel des Anichinabés de Kitcisakik. Comme c’est le cas pour de nombreuses nations autochtones du Canada, le territoire ancestral de cette communauté algonquine du Québec a fait l’objet d’interventions forestières continues depuis la fin du xix e siècle. Pour faire face à cette problématique, les gens de Kitcisakik ont choisi de s’engager dans un processus de recherche collaborative, appuyé par un cadre de référence en éducation relative à l’environnement. Cette initiative a permis d’amorcer un dialogue interculturel dans le but de définir les fondements d’une foresterie mieux adaptée au contexte autochtone. L’enquête menée par les auteurs a mis au jour le caractère identitaire de la forêt ( nopimik ) pour les Anichinabés et la dimension préoccupante de la foresterie. À partir du système anichinabé de représentation, ils ont élaboré un cadre de cinq principes (culturel, éthique, éducatif, écologique et économique) et de vingtdeux critères de foresterie autochtone. Cette proposition est analysée dans le contexte des changements normatifs et législatifs apportés au Québec par la nouvelle Loi sur l’aménagement durable du territoire forestier et le resserrement des critères de certification forestière du Forest Stewardship Council (FSC).

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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)0.0010.003

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 head0.310
Teacher spread0.177 · 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
GenreOther

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

Citations7
Published2014
Admission routes3
Has abstractyes

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