Utilizing Non-Timber Extraction of Swamp Forests over Time for Rural Livelihoods
Bibliographic record
Abstract
The research aimed to analyze utilizing non-timber extraction of swamp forests over time for rural livelihoods. This research was carried out in swamp forests of Ogan Komering Ilir (OKI) District, South Sumatra, Indonesia. The data were collected by direct field observation, intensive study of archive report documents as well as in-depth interviews with the respondents. Before 2000, rural communities could be mentioned to be relatively concerned about the status of forest and land resources because they have utilized forest and land resources following customary regulations. Various types of products extracted by their priority are fuel material, food sources, medicine and pharmacy, raw materials for handicrafts, structures and other uses. After 2000, there have been significant changes in forest and land resources being used for other purposes, e.g. agroforestry, plantation, agriculture, fodder, thatching grass, woven mats (from purun), rope webbing, leaves, resins, dyes, manure and others. These activities have caused degradation of swamp forest. To minimize the impact of swamp forest degradation, the active participation involvement of the rural community and all other stakeholder components is essential to optimize swamp forest management.
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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) | 0.000 | 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) | 0.001 | 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".