Monitoring <i>Nûtimesânân</i> Following the Diversion of Our River: A Community-led Registry in Eeyou Istchee, Northern Québec
Bibliographic record
Abstract
The Waskaganish Voluntary Anadromous Cisco Catch Registry is a community-led ex post monitoring programme carried out within the Environmental Impact Assessment (EIA) Follow-up Phase of the Rupert River Diversion Hydroelectric Project. The Registry monitors an aboriginal subsistence fishery in the Cree community of Waskaganish. Due to the complexity of the socio-ecological system, predicting the project’s impacts on the fishery at the ex ante stage proved difficult. The programme has allowed the community to monitor changes in the cisco fishery, while also providing a forum for communication and collaboration with the proponent, Hydro-Québec. The programme recognises and incorporates both local ecological knowledge and scientific results from site-specific biological monitoring studies. Overall, the Registry has enhanced stakeholder understanding of project impacts, improved mitigation management decision-making and led to the development of an effective consultation framework. Most importantly, the Registry has helped the fishery to continue into the future despite project impacts.
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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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".