Pemberdayaan dan usaha peningkatan ekonomi suku Talang Mamak di kawasan Taman Nasional Bukit Tiga Puluh melalui budidaya Kelulut (Heterotrigona itama)
Bibliographic record
Abstract
Bukit Tiga Puluh National Park is not only a place for wildlife but also a home for Talang Mamak tribe (a local and native tribe lives inside the National Park). Furthermore, to support Talang Mamak, an empowerment is critically needed. Meliponiculture is one form of empowerment activity provided by Thirty Hills National Park. There are many steps to do this empowerment activities, namely, conducting preliminary survey, forming groups for each sub villages, training, giving grant beekeeping equipments, assistance, detailing in marketing, and evaluating. Results showed that in the first year after training, honey production increased 85.5% in the third quarter compare to honey produced in the second quarter. Other groups, such as KTH Batu Berdiri and KTH JelemuBengayuan, also gave similar tendency. These results also revealed that the empowerment activity by doing meliponiculture had given positive contribution for Talang Mamak even though it`s production is still not much. Nevertheless, there are some obstacles when doing this meliponiculture. For instances, sometimes, Talang Mamak people is less focus when facing problems. Other problems are that they cannot determine their market target and there is no maintenance toward the stingless bees’ colonies.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".