Traditional Lebanese Recipes Based on Wild Plants: An Answer to Diet Simplification?
Bibliographic record
Abstract
BACKGROUND: The challenge posed by the nutrition transition occurring throughout the world is enormous: rates of chronic disease, particularly overweight and obesity and cardiovascular disease, have reached alarming levels-often occurring in parallel with high levels of micronutrient deficiencies. Lebanon is no exception. And yet this Mediterranean country enjoys a rich biodiversity, with thousands of endemic species and an equally rich culinary history, largely based on its local biodiversity, including wild edible plants. OBJECTIVES: To record traditional Lebanese recipes based on wild edible plants and to investigate their potential to contribute to a more diversified diet. METHODS: A series of nine focus group meetings was conducted with key informants knowledgeable in wild edible plant identification, harvesting, and use. RESULTS: Common recipes based on wild edible plants were collected and standardized from rural communities where collection of wild edible plants is common. Nutrient analysis and food-composition analysis were performed, including comparisons with processed dishes that are increasingly common in the Lebanese diet, revealing that the wild edible plant-based dishes offered a healthier alternative. CONCLUSIONS: Since traditional recipes often use items from several food groups in one dish, they can be a good model for diet diversification. The promotion of the collection and use of wild edible plants and their derived products can lead to improved nutrition.
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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".