Assessing the viability of the Species at Risk Act in managing commercial exploitation and recovery of threatened and endangered marine fish in Canada
Bibliographic record
Abstract
Commercially exploited threatened or endangered marine fish are consistently declined for listing under Canada's Species at Risk Act (SARA), largely due to predicted socioeconomic impacts associated with SARA's prohibitions.However, commercial exploitation can be exempted from SARA's general prohibitions.If exemptions were utilized, commercially exploited species could benefit from other aspects of SARA listing, and support continued economic opportunities for fishers.I conducted a literature review, key expert workshop, and interviews to develop potential criteria to determine when this management approach might be appropriate.I administered a questionnaire to experts and stakeholders to evaluate the importance of the criteria, and elicit opinions on SARA's possible role in marine fisheries management.Respondents favoured criteria that supported the biological feasibility of species recovery, and promoted compliance with management objectives, but disagreed over how at-risk marine fish could best be managed.Recommendations focus on ways to resolve the listing bias against marine fish.
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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 | 0.016 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".