Social, ecological and governance perspectives of small-scale fisheries wellbeing in marine protected areas of Malaysia
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
The government of Malaysia has established several marine protected areas (MPAs) in the east coast of Peninsular Malaysia since 1980s to protect overexploited fisheries resources and coral reefs habitat. Tourism industry generates substantial revenue from the islands in Malaysia. The “no take” MPAs are restricted for fishing activities. The main challenge is to how overexploited marine resources can be protected and restored for sustainable use. Several studies demonstrate that coral reefs and fisheries in MPA suffer from natural and anthropogenic disturbances mainly caused by increased tourism activities. This study examines how social and ecological factors are influenced by governance of MPA. The data for this study was obtained from face-to-face interviews with local people from two islands using a structured questionnaire. The results show that the governance factors contributed significantly to the ecological conditions of MPAs, indicating that governance factors play very important roles for enhancing coral health and fisheries resources. Local stakeholders' participation and cooperation could effectively protect the coral reef habitat for sustaining livelihoods of local people in the islands in Malaysia.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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