Socio-economic Benefits of Non-timber Forest Products to the AFCOE2M Communities of Southern Cameroon
Bibliographic record
Abstract
A study was carried out in the community forest of Ebo, Medjounou and Mbamesoban communities (AFCOE2M) in the South Region of Cameroon to evaluate the contribution of non-timber forest products (NTFPs) to the people’s livelihood. The study identifies the various NTFPs used and further evaluates their socio-economic and cultural contributions in sustaining the livelihood of the AFCOE2M community. Essentially, the study assesses the exploitation and utilization of NTFPs. One Hundred and twenty five (125) individuals were randomly selected in the three villages that make up the AFCOE2M community forest. Fifty two (52) species of NTFPs of plant origin were identified, from which seven (7) were frequently used in all the three villages namely; Irvingia gabonensis, Trichoscypha acuminata, Alstonia boonei, Garcinia kola, Piper guineense, Picralima nitida, and Ricinodendron heudelotii. Results reveal that NTFPs plant parts used for consumption consist of 68% fruits, 20% seeds, 5% barks, 4% roots and 3% leaves. NTFPs used for medicinal purposes comprised of 70% barks, 16% seeds, 7% leaves, 5% fruits and 2% roots. There was a significant difference (P = 0.049) in the number of NTFP types consumed as food while that was not the case for medicinal NTFPs (P = 0.86). There was a significant difference in the number of NTFP species used for food originating from different land use types (P-value = 0.048) as well as between those used for medicinal purposes (P-value = 0.012).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".