Bibliographic record
Abstract
This paper illustrates an innovative approach to enhance rural livelihoods through community tourism in Uganda. Following pro-poor tourism principles of local participation and linking with existing systems, Gorilla Friends Tented Camp opened in Ruhija village, where mountain gorillas were recently habituated for gorilla tracking tours. In a village that had no previous tourist accommodations and few opportunities for villagers to earn income, a percentage of profits from Gorilla Friends Tented Camp are returned to support other livelihood enhancement initiatives in the village. While much of our previous research has focused on identifying and developing local capacity to participate meaningfully in Uganda’s tourism industry, attention must also be paid to tourists’ experiences at the site to ensure continued viability. Findings based on interviews with tourists to Ruhija illustrate the need for national partnership networks to support local community tourism. Additionally, understanding how tourists came to and experienced the community will assist the local people with sustainability of their operations and activities, and inform continued innovation in community tourism development in Ruhija.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".