Environmental Knowledge and Attitude of Coastal Community in Decision Making to Participate in Mangrove Rehabilitation in Sinjai District South Sulawesi Indonesia
Bibliographic record
Abstract
Adversity in the past has provided lessons, information, and understanding of coastal communities about the importance of adequately conserving and managing mangrove forests and encouraged their attitude towards mangrove rehabilitation. The study aims are to analyse the influence of knowledge and attitude of coastal communities on the decision to participate in mangrove rehabilitation in Tongke-Tongke village, Sinjai district, South Sulawesi. A household survey was conducted in August 2019. Structured questionnaires were administered to 150 respondents who were selected through random sampling. The socioeconomic demographic characteristics of households were described using qualitative descriptive statistics, and a multiple regression equation examined the decision to participate with a logit model estimation. The majority of the coastal communities have a low-level education and rely on fishing and shrimp farming as their primary source of income. Knowledge and attitude play a critical role in determining their understanding and behaviour concerning mangrove rehabilitation, with positive and significant effects.
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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) | 0.002 | 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".