Alternative livelihoods for forest edge communities : cheese making in the Democratic Republic of the Congo
Bibliographic record
Abstract
This study aims to contribute to the exploration of using innovative ideas when implementing alternative livelihoods. This research examines the possibility for an innovative alternative livelihood for the Nyindu people, a forest-edge community in the Itombwe Mountains, Democratic Republic of the Congo, through the introduction of cheese-making. Cheese making has the potential to avoid livelihood practices that contribute to deforestation.\nHaving community involvement in this innovative project was central to the analysis of whether this livelihood could be an option. Questionnaires administered to potential consumer and producers elicited results that show a high level of keenness to begin cheese-making and a high level of willingness to purchase locally produced cheese.\nThrough the use of a questionnaire that was administered for both potential producers (n=132) and consumers (n=100), results show that potential producers are keen to start producing cheese with 95% of respondents communicating their keenness. The main constraint identified to cheese production was cheese making training (92%), followed by access to a financing mechanism (53%). Slightly over half of the respondents state that they bought cheese occasionally, followed by about a quarter (24%) stating they bought it frequently. The most important attribute when purchasing cheese for most respondents (63%) was supporting local farmers.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".