Local Knowledge of Medicine Plants by the Lintang Tribe in Talang Baru Village, South Sumatra Province, Indonesia
Bibliographic record
Abstract
Local knowledge in utilizing plants as traditional medicine is a very important study.The purpose of this study was to find out how to process plants used by the Lintang Tribe in Talang Baru Village, South Sumatra Province, Indonesia.Data collection was carried out using a qualitative approach through in-depth interviews, involved observations, and documentation studies.Data analysis was carried out descriptively to determine the use of plants in traditional medicine.The results showed that the processing of plants used as medicine by the community was carried out in a simple way, namely chopped, grated, pounded, burned, stir-fried, squeezed, boiled, kneaded, and there were several plants that were consumed directly.The way to process the highest plants is by boiling them.This method is done to remove the medicinal substances contained in a plant.In general, the method of processing plants is done singly, but some plants are also made like potions and mixed with other ingredients.The government needs to provide guidance on strategies for developing plants that have the potential to be used as medicine to increase people's income.
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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) | 0.000 | 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 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".