Bibliographic record
Abstract
The Kenyan government sees ecotourism as having the potential of becoming a moderately useful tool for locally directed and participatory rural development based on a rational utilization of environmental and cultural resources on which tourism relays on. We therefore need a better understanding of ecotourism’s impacts, and how those impacts are affected by various development and management strategies. Furthermore, ecotourism not only provides revenue and employment, but also causes undesirable environmental and social change. Unfortunately, these costs of ecotourism development are rarely evaluated in detail. If ecotourism is indeed promoting a region’s welfare, it is vital that apart from the economic potential, environmental and social costs that also need to be identified, these costs enter into any decisions about ecotourism development. This paper contributes to a greater understanding of the linkages between ecotourism and the economy from the Kenyan perspective. Research was undertaken in communities adjacent to Masai Mara and Amboseli area in Kenya. The study examined the relationships between ecotourism and economy with a view to understanding how the benefits, if any, are utilized within the communities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".