Aboriginal and local perspectives on the community benefits of conservation: A case study of a proposed Canadian National Park and the Lutsel K’e Dene First Nation
Bibliographic record
Abstract
Lutsel K’e, Northwest Territories, is a rural Aboriginal (Dene) community with a population of 400 that could soon become the gateway to the third largest national park in Canada. The Thaidene Nene Working Group of the Lutsel K’e Dene First Nation is interested in the potential of the park in contributing to local socio-economic development. A collaborative research project with researchers from Lakehead University in Canada, examined various perspectives on how to maximize local development potentials in the community, with the purpose of providing information to the community and Parks Canada for direct use in park and community planning and development. This descriptive paper focuses on local and Aboriginal community member perspectives on the perceived and desired benefits of the creation of a national park in the traditional territory of the Lutsel K’e Dene First Nation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".