Population structure and sub-legal catch in a California spiny lobster (<i>Panulirus interruptus)</i> fishery in Baja California, Mexico
Bibliographic record
Abstract
Promoting sustainable fisheries is a global challenge. Growing numbers of initiatives identify sustainable fishing practices through certification programs. One of the most widespread and impactful is the Marine Stewardship Council, which, in 2004, certified the California spiny lobster ( Panulirus interruptus, Palinuridae) trap fishery of Baja California, Mexico as the first certified small-scale fishery in a developing nation. Despite this success, questions about the possible impact of high bycatch of sub-legal lobster, and the efficacy of current management practices under scenarios of increasing future stressors, remain. This study quantifies (1) catch structure and sub-legal bycatch rate of a fishing cooperative of Baja California, Mexico; and (2) rate of sub-legal recaptures. We found high rates of sub-legal bycatch (82.0%) consistent with previous studies. Multiple recaptures occurred in ∼12% of tagged sub-legal individuals, raising questions about the potential impact of multiple recaptures. Results support previous assumptions of high post-release survival of sub-legal individuals but highlight a need for research on potential impacts of multiple recaptures to increase fishery sustainability and resilience, especially under potential future stressful conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".