Social Dynamics of the Value of Wild Edible Leaves ( <i>Imifino</i> ) in a South African Rural Area
Bibliographic record
Abstract
The contribution of wild edible leaves to the livelihoods of rural poor is widely acknowledged. Yet the notion of value of these natural resources is poorly understood. Using a case from Mkambati area, South Africa, this article suggests that in order to better understand resource value, both realized (in terms of material benefits and contributions to livelihoods) and notional (in terms of appreciation of resources and their potential uses), a broader livelihood context, which encompasses understanding of social and ecological dynamics, is crucial. Two axes of social difference, gender and wealth, emerged as playing a key role in determining value, through mediating, firstly, access to and control over ecological zones where these plants grow; and secondly use and labor required for collection. The article concludes that in order to enhance the contribution of wild edible leaves to poverty alleviation, policies should recognize the fact that resource value is primarily socially constructed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".