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Record W2625080514

La forêt plurielle des pekuakamiulnuatsh : hétérogénéité des enjeux et processus d'autodétermination de la communauté de Mashteuiatsh

2011· article· fr· W2625080514 on OpenAlexaboutno aff
Amélie Girard

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Ce memoire aborde la presence centrale du milieu forestier dans le processus d’autodetermination de la communaute de Mashteuiatsh. Depuis plusieurs decennies, les Pekuakamiulnuatsh ont entrepris differentes demarches pour demarches pour reprendre une partie du controle de la gouvernance du milieu forestier, a la fois parce que celui-ci constitue la base historique de leur developpement socioeconomique et parce qu’il est le «creuset» de leur culture, et le lieu propice a la transmission des savoirs. Cet investissement dans le territoire et dans ses ressources ainsi que de leur determination a s’engager dans le developpement durable et equilibre de leur societe. Les lois, les juridictions et les politiques mises en place par les differentes echelles de gouvernance de la foret definissent «l’espace legal» au sein duquel les societes autochtones peuvent s’affirmer. Neanmoins, plusieurs Pekuakamiulnuatsh adoptent des strategies de developpement economique ou de partenariat avec les acteurs forestiers allochtones qui debordent largement ce cadre et attestent de leur volonte de definir leur propre societe, non pas en retrait du monde contemporain mais en interaction reflexive avec le reste de la societe canadienne. La comprehension theorique de l’auteur des dynamiques a l’œuvre au sein des communautes autochtones part donc du postulat que les Premieres Nations ne sont pas seulement victimes de l’histoire, mais produisent aussi leur propre historicite en fonction de leurs valeurs et de leur attachement au territoire et a ses ressources tant economiques que sociales (guerison, savoir, spiritualite, etc.).

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)0.001
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 score0.976
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.003
Open science0.0000.003
Research integrity0.0010.001
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 head0.072
GPT teacher head0.318
Teacher spread0.246 · 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
Published2011
Admission routes1
Has abstractyes

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