The sea urchin fishery in Grenada:
Bibliographic record
Abstract
The sea urchin fishery in Grenada: A case study of social-ecological networks ROXY NAYAR, IAIN DAVIDSON-HUNT, PATRICK McCONNEY AND BRIAN DAVY This paper examines the white sea urchin (Tripneustes ventricosus) or the “sea egg ” fishery in Grenada prior to its closure in 1995. It is a case study examining the social-ecological networks of the fishery, to identify the participants and their networks with consideration for the multitude of challenges and issues facing small-scale fisheries and their management. Improving governance and using social network analysis to understand social structure and features may improve the likelihood that an alternative to the prevailing centrally-controlled management strategies can be found and be more effective. The sea egg in Grenada is most commonly found in near shore habitats along the east and southeast coasts from River Antoine to Calliste. The sea egg fishery was closed in 1995 after it collapsed following a period of increasing harvest aimed at meeting local and export demand. The research was undertaken in Grenada during the summer of 2008 for the research f a Masters degree at the Natural Resources Institute at the University of Manitoba, Canada. Methodology
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".