Local attitudes toward the cultural seasonal hunting bans in Ghana's Bomfobiri Wildlife Sanctuary: Implications for sustainable wildlife management and tourism
Bibliographic record
Abstract
This study investigated the attitudes of the people living in three adjacent communities close to the Bomfobiri wildlife sanctuary in Ghana concerning the observation of the cultural, seasonal closures of hunting. The cognitive and motivational approaches to attitude theory in wildlife management guided, under the phenomenology method, the collection of qualitative data on the importance of the seasonal closure of hunting and its implementation challenges. This inquiry was deemed crucial to improving the disjointed relationship between park management and local communities that often make wildlife conservation and tourism difficult at the Bomfobiri Wildlife Sanctuary. Forty-five key wildlife stakeholders, including park officers, traditional authorities, elderly residents, and bushmeat traders, were purposively selected with some interviewed personally and others engaged in focus group discussions. Despite a more significant number of stakeholders admitting the importance of the seasonal closure of hunting, some challenges impeded its implementation. These included the absence of alternative arrangements to support hunters during the period for the annual closure of hunting; lack of proper sensitisation and education on the hunting ban; absence of transparency in the equitable sharing of proceeds from wildlife tourism at the Bomfobiri Wildlife Sanctuary among park officers (Government) and the traditional authorities; the booming bushmeat business and the fear of losing customers after the fallow period; and purported corruption on the part of park officers, threatening the observation of the seasonal closure of hunting. The study has offered proactive suggestions to the Wildlife Division of the Forestry Commission and mainly to park management at the Bomfobiri Wildlife Sanctuary on how to address these challenges and improve wildlife management and sustainable wildlife tourism potentials in Ghana. Paramount among them is the tactful provision of alternative sources of livelihood and the establishment of enterprises in non-timber forest products as sources of income for hunters during the seasonal hunting ban.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".