Proximity in a Ghanaian savanna: Human reactions to the African palm civet <i>Nandinia binotata</i>
Bibliographic record
Abstract
Understanding human reactions to wildlife, including the differing reactions of different groups to different species, is important given that expanding human population and settlements increasingly result in natural habitat loss or modification and, consequently, wildlife adaptation and encroachment into cleared and created human spaces such as wastelands and farms. This paper examines the importance of gender and age in the responses of rural coastal villagers in Ghana to the presence of African palm civets. Social data gathered from 450 residents in six villages indicated that women and young people were significantly more fearful of civets, seeing them as village marauders, food thieves and livestock predators. Women were also more likely to carry sticks and beat thick vegetation to dispel civets out of concern for the safety of their children and homes. These findings may inform both rural development and conservation debates and policies.
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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 | 0.000 | 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 | 0.000 | 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 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".