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Record W185776245

Towards a culturally-appropriate locally-managed protected area for the James Bay Cree community of Wemindji, Northern Quebec

2005· dissertation· en· W185776245 on OpenAlexaboutno aff
Véronique Bussières

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2005
Typedissertation
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureEthnographyGeographyPolitical scienceEnvironmental planningArchaeologyAgriculture
DOInot available

Abstract

fetched live from OpenAlex

The role of local communities in protected area (PA) management has generated heated theoretical and praxis debates in recent years. The research conducted for this thesis contributes to these debates through the examination of early stages in the establishment of a culturally-appropriate locally-managed PA in the traditional territory of the James Bay Cree community of Wemindji, Northern Quebec. The motivation for this initiative is based on the aspirations of Wemindji Crees for an enhanced and officially recognised role in the management and protection of the watershed of Paakumshumwaau , an area of particular significance to the local subsistence economy as well as of historical and cultural importance. Concerns about the longer-teen protection of this area, related to potential impacts of hydro-development and an increase in outsider intrusion, have increased local will to strengthen the customary management regime. While there is opposition to conventional top-down management approaches that would conflict with local practices and customs, the Wemindji Crees have expressed interest in more culturally appropriate bottom-up initiatives that have been emerging in some parts of the Canadian Arctic and other parts of the world. Through ethnographic research, supplemented by mapping and field survey, this research documents the significance of the targeted area to the Wemindji Crees, and explores local aspirations and concerns with respect to the establishment of the PA as well as concepts, methodologies and precedents from PA experience elsewhere that could inform this project. It concludes by looking at some of the challenges and opportunities to the establishment of this PA

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0160.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.005
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 head0.048
GPT teacher head0.340
Teacher spread0.291 · 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 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

Citations6
Published2005
Admission routes1
Has abstractyes

Explore more

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