Impact of the exploitation of medicinal plants on biodiversity conservation in Saida and El Bayadh regions, Algeria
Bibliographic record
Abstract
Abstract The aim of this study was to establish an overview of medicinal plants in the Saida and El Bayadh regions through a survey of herbalists. Our survey included more than 60 herbalists spread over the territory of two Wilayas (provinces), in an area representing more than 3% of Algerian territory. At the same time, and when conditions permitted, families were interviewedand their answers most often guided our survey. In addition, we collected information on: traditional herbalists, the most exploited species, areas of origin, periods and quantities exploited, as well as the influence of this mode of exploitationon present and future biodiversity in these regions. Analysis of the data showed that threats to the biological diversity of medicinal plants mainly included human actions and natural changes. Herbalists practise this trade mostly by inheritance and they are willing to train in the field of herbalism. The frequency of use of medicinal plants as alternative medicine is very important in the social life of populations.
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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 | 0.000 | 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 | 0.000 | 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".