The CV as an Initiative for Sustainable Development of Small-Scale Capture Fisheries in Central Java, Indonesia
Bibliographic record
Abstract
The problem of this study is that small-scale capture fisheries business in Indonesia still faces a classic problem, namely limited sources of capital to develop the business, so a strategy is needed to overcome this problem, including working with other parties as partners in running the business. This study aims to investigate the legality of the capture fisheries business in Indonesia, and the limited partnership (Commanditaire Vennootschap/CV) as an alternative form of capture fisheries business in Indonesia. This study uses a normative juridical research method with a statutory approach and a conceptual approach, the legal data used is secondary data in the form of primary legal materials, namely the Law on Capture Fisheries and the Law on CV, and secondary legal material in the form of literature related to the research problem. The data and legal materials were collected through a literature study and analyzed descriptively and analytically. The results of the study concluded that in carrying out fishery business activities, the entrepreneurs can use CV as an alternative form of small-scale capture fisheries business that allows overcoming the problem of limited capital faced by small-scale capture fisheries entrepreneurs in Indonesia. The study concludes that with the formation of CV, there will be two partners in small-scale capture fisheries business, namely complementary allies as the party who manages what is done by fishermen and limited allies are parties who include capital in small-scale capture fisheries businesses.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".