Contributing factors to the empowerment of fishpond farmer of post Tsunami Aceh
Bibliographic record
Abstract
Abstract The 2004 Indian Ocean earthquake and tsunami have significant implication to a destructive damage community fish farming in Aceh. The recovery has done during the rehabilitation and reconstruction process. This study aims to identify the degree of fishpond farmer’s empowerment of post-tsunami and its contributing factors. The study employs quantitative and qualitative approaches through a questionnaire survey and interview with 51 respondents. Data analysis used descriptive analysis to measure empowerment degree and multiple linear regression analysis to identify determinant factors. The study finds that about half of the respondents are at a moderate level of empowerment degree, more than a quarter is at a high level, and the rest is low. Statistically shows that social network, motivation, innovativeness, resources availability, and characteristics of the economy have a positive correlation and significant to empowerment degree of the fishpond farmer. Meanwhile, information tools and extension mechanism are not significant. Therefore, the role of extension and initiatives are necessary to encourage and enhance the quality of empowerment by enabling and improving the capacity of the agent of change.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".