Social wellbeing in forest-dependent communities: a focus on the importance of wild mushrooms in northern Zambia
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
Non-timber forest products (NTFPs) are relevant for forest communities around the world. Within this context, income and dietary outcomes have been widely analyzed as the primary outcome measures. However, the emphasis on material gains and income obscures the experiences, social relations, and the motivations of common resource users. Situating wild food use and consumption within cultural traditions and social relations provides a more holistic understanding of the contributions these resources make to rural livelihoods. This emphasis is important given rapid land use changes and high rates of deforestation. The present study contributes to this research gap by examining the significance of wild mushroom value chains for people’s material and non-material social well-being in two rural communities in northern Zambia. Wild mushrooms make important contributions to the consumption and economic needs of rural households in Zambia, with evidence suggesting that poorer households and women are often more likely to depend on and derive greater benefits from their sale and use. A social wellbeing lens can help draw policy attention to the non-material benefits of NTFP value chains and add value to our understanding of the social and economic dynamics in forest-dependent communities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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