Towards a culturally-appropriate locally-managed protected area for the James Bay Cree community of Wemindji, Northern Quebec
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".