THE REVIEW ON ETHNO-BOTANICAL CONCEPT, HISTORY AND TRADITIONAL KNOWLEDGE OF INDIGENOUS COMMUNITIES OF INDIA AND ITS THREATS
Bibliographic record
Abstract
Comparatively a newer discipline, ethnobotany examines the various rules that govern interactions between people and plant. People have been associated with plants since time immemorial and dependent for their various uses such as food, fodder, and medicine. Ethnobotany is the study of the utilitarian relationship between people and plant in their surroundings, as well as medicinal uses. This ethnobotanical study is providing the information of ethnobotany, concept, Historical background, traditional knowledge and threats of ethnobotany. This paper focuses on the ethnobotanical researches of India and Gujarat. In India, 500 networks with 227 different Ethnic groups were home to about 7500 different kinds of ethnomedicinal plants. Gujarat has a variety of vegetation in ethnobotany. This paper rise concern on loses of Traditional knowledge and plants varieties are destroyed by the knowledge loss and development of tribal human life.
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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".