Determinants of successful community-based tourism in Botswana
Bibliographic record
Abstract
The following research was conducted to determine the characteristics that define successful community-based tourism in Botswana. Community-based participatory programs have been in operation for over four decades, yet problems remain with their implementation. Although there is a substantial amount of research on "best practices" for community-based tourism, challenges seem to remain in spite of their successful implementation. There are reports that community-based tourism has been successful in Botswana. In particular, it has been suggested that the Sankuyo Tshwaragano Management Trust of Botswana is one such example. The current research seeks to determine the basis of this success. Information was obtained from interviews with stakeholders associated with the Sankuyo Tshwaragano Management Trust to discover what individuals and groups perceive has been done correctly and where there is need for improvement. The resulting conclusions may be useful in improving community-based operations in Botswana and help shape successful models of community-based tourism elsewhere.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| 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".