Perceived health and medicinal properties of six species of wild edible plants in north-east Lebanon
Bibliographic record
Abstract
OBJECTIVES: Wild edible plants (WEP) play the dual role of securing food diversity and promoting health in traditional societies. Current simplified dietary habits contribute to increasing population health risks. Since WEP are integral to the diet of traditional communities, identifying their significance as foods to people provides further evidence to conserve them and promote their consumption. Six species of WEP were identified as integral to the diet of rural Lebanese communities. We investigated their patterns of consumption and knowledge regarding their health and medicinal properties. DESIGN: An ethnobotanical survey, employing a qualitative questionnaire, was conducted among thirty informants. The identified species were Cichorium intybus, Eryngium creticum, Foeniculum vulgare, Malva sylvestris, Thymus syriacus and Gundelia tournifortii. RESULTS: Most informants consumed the six plants as a regular part of their diet. Seasonal variability in consumption was evident. C. intybus was renowned for its digestive and blood strengthening properties. F. vulgare was used as a digestive stimulant. M. sylvestris was distinguished for its anti-inflammatory qualities. T. syriacus was popular for its digestive and anti-poisonous properties. E. creticum was attributed less pronounced health benefits. G. tournifortii was considered a nutritious food. CONCLUSIONS: All six species were popular for their edible uses as well as their health and/or medicinal benefits. These properties are supported by scientific evidence. Our results highlight the importance of these plants for local people and support efforts for their conservation. However, we noticed a decline in indigenous knowledge. We encourage efforts to record it for other plants and in other communities.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".