Decentralisation and the Living Conditions and Struggle of Fishers: A Study in West Java and East Kalimantan
Bibliographic record
Abstract
Some argue that one of the key factors contributing to marine resource and environmental degradation, as well as to the poverty of fishers in Indonesia was the centralized resource management system. Since the start of the era of reform in 1998, Indonesia has experienced many fundamental changes, including decentralization of fisheries management.This paper assess impacts of the decentraization on fishers living condition and their struggle. This study shows that decentralization in Indonesia, including decentralization of fishery resources management, has not brought any significant improvement to fishers’ living conditions. Thus, I argue that what is important is not the decentralization per se, but those who are in power. If the people in power put more emphasize in pursuing economic growth and their own prosperity without paying enough attention to the environment and poor people, decentralization would not bring any significant improvement to the environment and poor people such as fishers. In that case, decentarlization simply moves the locus of power from central government to local 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".