Traditional ecological knowledge and medicinal plant diversity in Ecuadorian Amazon home gardens
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Medicinal plants are an ecosystem service directly implicated in human well-being. In many rural communities, they constitute a main treatment for disease or a source of disease prevention. Here, we review traditional knowledge of medicinal plants, the benefits they provide when cultivated in home gardens, and the determinants of knowledge about their uses in a rural parish in Amazonian Ecuador, where two ethnic groups prevail: indigenous Shuar and settled mestizos. Among 138 garden owners interviewed in 11 communities, a broad knowledge of 104 pharmacological properties across 145 medicinal plant species is retained. Several species play a specific role for a particular culture; therefore, the importance ranking of medicinal plants is different between the two main cultures. Traditional knowledge of medicinal uses is also influenced by ethnicity as well as generational age of the gardeners. Knowledge seems to have been lost in people of younger generations, who cultivated fewer species and knew less about properties of medicinal plants. Although men cultivate more diverse gardens, the role for women in the conservation of agrobiodiversity in home gardens appears crucial, as they are identified as the main source for transmission of traditional knowledge about medicinal plants. Our study highlights the importance of integrated land use management that respects different social aspects (i.e., culture, gender, health and well-being) related to conservation of biodiversity and traditional knowledge in agroecosystems.
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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 it