THE ROLE OF FISHERY EXTENSIONS IN IMPROVING QUALITY CATFISH FARMERS IN BINJAI CITY NORTH SUMATRA PROVINCE
Bibliographic record
Abstract
Abstract: This research aims to investigate and analyze the role of fisheries extension officers in improving the quality of catfish farmers in Binjai City, North Sumatra Province. The quality of catfish farmers is understood as a combination of technical knowledge, practical skills, business management, and the level of innovation acceptance that affects the productivity and sustainability of catfish farming. The research methodology involves field surveys, interviews, and secondary data analysis to understand the conditions of catfish farmers and the effectiveness of the role of fisheries extension officers. The data will be analyzed qualitatively and quantitatively to obtain a holistic picture of the contribution of fisheries extension officers to the improvement of catfish farmer quality. The results of the research are expected to provide in-depth insights into specific aspects that need improvement by fisheries extension officers, such as increasing technical knowledge, implementing more efficient aquaculture practices, and better business management. The implications of this research can be used as a basis for improving fisheries extension programs and sustainable development strategies for catfish farmers in Binjai City and surrounding areas. This research is expected to contribute to the knowledge literature on the role of fisheries extension officers in the context of fisheries management and the empowerment of fishing community
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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 | 0.001 | 0.001 |
| 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".