Local and Regional Strategies for Rebuilding Fisheries Management Institutions in Coastal British Colombia: What Components of Comanagement are Most Critical?
Bibliographic record
Abstract
"Aboriginal and nonaboriginal fishing-dependent communities on the coast of British Columbia, Canada, having lost traditional fisheries management institutions along with significant fishing opportunity, are in the process of rebuilding local and regional institutions to allow their survival. Sometimes, the rebuilding effort involves the creation of largely new institutions. It can also involve the reactivation, reinvention, or repositioning of older ones. We consider the aspirations, strategies, and activities of organizations in two regions of the coast involved in two different fisheries: salmon on the north coast and intertidal clams in the Broughton Archipelago. We analyze what the two regions have in common, as well as their differences, to generate general predictions and recommendations about what preconditions appear to be necessary for success in rebuilding institutions in communities and regions at these scales and what actions are likely to be most effective, according to a body of literature on self-management and comanagement. In both cases, we found favorable conditions in the communities, the external political arena, and in government to support the rebuilding goals of the organizations working in the two regions. Although both areas would benefit from greater financial resources, the most critical need is for external support in the form of alliances, issue networks, and access to multiple sources of power."
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| 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".