Empowering Fishermen through Local Wisdom and Sustainable Development: a Policy Research
Bibliographic record
Abstract
The current study was to observe to what extent efforts are taken by the local government of Demak Regency, Central Java Indonesia to empower the fishermen based on local wisdom, as well as what model is right with the sustainable development. Technically, the government can take benefit from this study to issue a policy of ‘empowering and protecting fisherman with sustainable development model. The regency has bio and non-bio potential resources. However, due to the lack of visionary attention to the resources and the absence of the comprehensive maritime planning, the ecology and the socio-economy of the area are facing serious problems, such as unhealthy competition in fishing in its multiple manifestations contributing to the poor welfare of the fishermen along the coastline. In-depth interviews were held among 20 fishermen to find out their wishes for improvement of the welfare. It was concluded that policies of pro-fishermen have to be developed on the basis of local wisdom and sustainable development and recommendations were offered accordingly.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".