Community Opinions about African Wild Dog Conservation and Relocations near the Serengeti National Park, Tanzania
Bibliographic record
Abstract
Conservation of the African wild dog (Lycaon pictus) in human-dominated landscapes faces many challenges. Understanding human opinions of wild dog conservation is important to inform management decisions. Questionnaire surveys, including both open and closed-ended questions, were administered by researchers through face-to-face interviews of 297 respondents in the eastern part of the Serengeti ecosystem between January and February 2012. Our results indicated that most local people believed that wild dogs were extinct in the Serengeti ecosystem. According to the local people, wild dogs should have a high conservation priority. Moreover, tribe and gender are important demographic variables that explain the negative or positive perceptions ofattempts to relocate wild dogs from the Loliondo Game Controlled Area to the Serengeti National Park (SNP). We conclude that future conservation interventions should focus on the interface between community knowledge and modern conservation science.
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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 | 0.002 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".