Community Based Ecotourism and Community Development in East Khasi Hills District Meghalaya
Bibliographic record
Abstract
This paper seeks to provide a glimpse of the practice of community-based ecotourism is few selected ecotourism destinations in East Khasi Hills District, Meghalaya. Ecotourism development in the villages of North East India has been driven by a combination of socio-economic, environmental, and strategic factors. The region's rich biodiversity and scenic landscapes, have made it a prime location for ecotourism. Tourism in Meghalaya has a very long history and can be dated back to the colonial period when the colonial rulers made Shillong a hill station capital as a retreat from the scorching heat and humid summers. Meghalaya is blessed with rich flora-fauna and biodiversity that has a potential of being one of the hotspots of ecotourism in the northeast India. The findings revealed that, in the context of Meghalaya, ecotourism has been initiated through and community-based initiative emphasising on the active participation and contribution of members of the host communities in its growth and progress. Community-based ecotourism in the selected villages has brought about social and economic benefits to the households and to the community as well. The practice of community-based approach to ecotourism management ensures active participation of the members of the host communities in the process of conservation and sharing of benefits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".