Survey of Wild Animals Used in Zoo-Therapy at Ibadan, Oyo State, Nigeria
Bibliographic record
Abstract
This study was done to bring to limelight wild animals and their by-products that are used as alternative therapy in the state capital of Oyo State, Nigeria. Bode market was purposively selected in Ibadan for the study because it is the major market that attracts weavers and sellers of traditional medicines both within and outside of the state in the capital city. Primary data were collected through the use of structured questionnaires administered to all traditional medicine sellers that were ready to respond in the market. A total of eighty nine respondents and questionnaire were completed. The wild animal whose uses were mentioned by at least five persons is reported in this study. Leopard’s hide, Civet cat’s anus, Mongoose’s anus, Gorilla’s penis, Patas Monkey’s skull, Squirrel’s hair, whole Squirrel, Porcupine’s intestine, Pangoline’s head, Aadvark’s bone and Warthogs’s legs; were found to be used in the treatment of anti snake venom, prevention of convulsions, boost immunity against fever, preparation of anti-poison drugs, cure for whooping cough, preparation of anti-poison drugs, preparations for preventing convulsion, treatment for stomach ache, preparation of drug to control bleeding, treatment for backache and prevention of lameness respectively. The study also revealed that Crocodile’s intestine were used in preparing anti-poison drugs; Puff adder’s intestine in use for prevention of adultery in women; Python’s bone for the treatment of backache and spinal cord disorder among others. Policy recommendations were made based on the outcome of the study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".