Community Mangrove Management in Pred Nai Village, Thailand
Bibliographic record
Abstract
This case study describes forest management activities undertaken in a mangrove forest by the Pred Nai Community Forestry Group in Thailand. The village of Pred Nai is in Trat Province near the border of Cambodia. The mangrove is one of the last surviving mangrove forests on Thailand’s eastern seaboard. The portion within Pred Nai covers 1,728 hectares (ha) (including 320 ha of plantation). Commercial logging since the 1940s has destroyed or degraded a significant area of mangrove forests in and near Pred Nai. This case study discusses community action to restore the mangrove, beginning with attempts to prevent commercial logging for charcoal production. This was followed by the restoration of mangrove trees through plantations, as well as protection to allow regeneration. This evolved into active management of the mangroves to increase the production of aquatic species. Although the mangrove forest is technically under the authority of the Royal Forest Department, this has not prevented community action.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".