Fishers' Needs in Marine Protected Area Zoning: A Case Study from Thailand
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Conserving marine ecosystems, while ensuring the livelihood needs of communities, is a challenge for protected area managers worldwide. Multiple-use zoning can help to balance human uses with conservation goals. Developing effective zoning plans requires information on the condition and uses of marine resources and the conflicts among them. Through interviews and participant observation, we investigated residents' reliance on nearshore fisheries in Ko Chang Marine National Park, a designated “no-take” area in eastern Thailand. Approximately 25% of households depended on fishing as their main source of income, with boat owners earning average net wages of 7–68 US$/day in small-scale fisheries. Apparently unaware of restrictions on resource use, small-scale fishers reported working in 95% of the park's marine waters. Understanding the needs and usage patterns of small-scale fishers will help to inform management and zoning plans for Ko Chang and provide a valuable example for other parks in the region.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| 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 it