Complex relationships among gender and forest food harvesting: insights from the Bribri Indigenous Territory, Costa Rica
Bibliographic record
Abstract
SUMMARY The gendered dimensions of wild food harvesting are often examined at the resource appropriation stage; to build on this literature, we examined gender and wild food harvesting across multiple wild harvesting stages from pre-harvest to food sharing. Using qualitative methods (participation, interviews, and group discussions) informed by Bribri Indigenous teachings, we found that: 1) no single harvesting stage was exclusive to members of one gender, 2) mixed gender harvesting groups were common, 3) women participate in all wild harvesting stages, and 4) men are central to wild plant food harvesting. These findings provide a nuanced picture of gendered harvesting and challenge prevalent biases about women and men's roles in plant harvesting and hunting. Our research further highlights the importance of examining variables such health, opportunities or motivation to harvest, and expertise, to understand intra-gender harvesting. Our research provides a framework to examine gender across multiple stage...
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".