Trend Analysis of Mangrove Forest Health in East Lampung Regency as Community Preparedness for Natural Disasters
Why this work is in the frame
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Bibliographic record
Abstract
The condition of mangrove forests in East Lampung Regency is currently experiencing degradation, resulting in the function of mangrove forests being reduced, especially in preventing natural disasters. This research is the third-year measurement of the activities of monitoring the health of mangrove forests in East Lampung Regency. The purpose of this study was to determine the value and trend category of the health condition of the mangrove forest in East Lampung Regency. The stages of this research, namely: measuring the health trend of mangrove forests in the six FHM clusters that have been built and analysing the data using the Forest Health Assessment Information System software. The results of this study indicate that the trend value of the health condition of mangrove forests in each location is Kuala Penet (8.64-20.90) with a good category because CL-1 and CL-2 are constant, Margasari (2.52-5.57) in the bad category because CL-3 and CL-4 decreased, and Purworejo (5.58-8.63) in the moderate category because CL-5 and CL-6 increased. Thus, the average trend value of the health condition of the mangrove forest in East Lampung Regency (7.70) is in the moderate category. This can provide information to the community on preparedness in dealing with natural disasters.
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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 | 0.000 |
| 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 it