The Study of Dynamic of Coastal Resource Community-Based Management in Wabula Village of Buton Regency
Bibliographic record
Abstract
Lesson learned on some of traditionally marine resource management had proven that full involvement and authority of traditional institutions are the key to optimum management and sustainability of the agreeable resources, despite the fact that the marine resources is an open access. On the other hand, national government initiative of more centralistic management regime and omitting the role of long existing traditional institutions had not been successful in sustaining the resources. Therefore, this research aims at finding a more adaptive and accommodative community-based maritime resource management, through qualitative approach by description 1) the dynamic of coastal management’s implementation on coastal community, 2) the execution of basic principal of coastal management-based on community, on program, and on combinations of community-based and program-based; and 3) key factors in contributing the existence of community-based and program-based coastal management. Result show that coastal community-based management is constructed and development through continuing socio-cultural changes over time. On the other hand, the dynamic of coastal program-based management is more on the level of community’s need and sustainability of the ecosystem. Result also show that the execution of basic principal on coastal management by community is more dynamic and set up locality. The key factors influencing the existence of coastal management are based on the level of community’s authority, as well as level of community’s participation in management process. Based on the finding, this research recommended an adaptive and accommodative coastal resource management by acknowledging the coastal community capacity supported by the access and control of the government.
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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 | 0.001 |
| 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 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".