Uses and traditional knowledge of <em>Dendropogonella rufescens</em> (Bryophyta: Cryphaeaceae) in a Zapotec community of southeastern Mexico
Bibliographic record
Abstract
Background: Uses and traditional knowledge (TK) are essential for the protection and management of natural resources. There are extensive records of traditional uses involving mainly vascular plants, while for mosses are scarce. This study documents the TK and uses of Dendropogonella rufescens in San Juan Luvina, Oaxaca, Mexico. Questions: For what purpose and how D. rufescens is used in San Juan Luvina? Can TK provide ecological information for this species? How is TK maintained among the members of the community? Studied species: Dendropogonella rufescens (Schimp.) Britt. (Bryophyta). Study site and dates: San Juan Luvina, Oaxaca, Mexico. March 2020. Methods: We conducted interviews with inhabitants from three age categories (15-41, 42-68, and 69-95 years). Interviews included questions about the length of time the community has used the plant, harvesting practices, traditional use per se, and plant recycling after traditional use. Results: Results include historical information about the use of the plant and TK grouped in seven categories (ceremonial, construction, craft, environmental, fuel, medicinal, and ornamental). These results include new reports of TK of bryophytes in Mexico. Conclusions: For the uses and TK reported, D. rufescens is essential for the cultural identity of the community of San Juan Luvina. D. rufescens TK could use to develop conservation strategies for bryophytes. As our findings suggest, TK and uses of bryophytes should be recorded because they are likely to disappear.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".