Socio-economic Determinants of Wild Birds and Reptiles in Abeokuta, Ogun State, Nigeria
Bibliographic record
Abstract
This study investigated socio-economic factors of human population in Abeokuta metropolis of Ogun State that contribute to the consumption of wild birds and reptiles. Primary data were collected through the administration of structured questionnaires to garner information from consumers of Wild birds and Reptiles in the study area. Fifty (50) questionnaires were randomly administered in each of the four markets that were prominent in the sales of wild birds and reptiles for consumption within the study area. Data were analyzed using percentages; while regression analysis was also used to determine the socio-economic factors that contribute to the consumption of wild birds and reptiles in Abeokuta metropolis. Results show that Age of respondents (p<0.05; t=2.564) is the only socio factor that contribute significantly to the consumption of wild birds and reptiles in the study area. Policy recommendations were made based on the outcome of the findings.
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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 | 0.000 |
| 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 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".