Guidelines to Promote Local Community Participation in Developing Agrotourism: A Case Study of Ban Mor Village, Sam Sung District, Khon Kaen Province, Thailand
Bibliographic record
Abstract
This article aims to study local community participation in agrotourism and propose guidelines to promote local community participation in developing agrotourism in Ban Mor Village, Sam Sung District, Khon Kaen Province, Thailand, which is an agricultural village based on the Sufficiency Economy Philosophy. The researchers used both quantitative and qualitative methods. The results show that there were high levels of local community participation in agrotourism in term of accessibility (S.D. = .30), attraction (S.D. = .39), activities (S.D. = .40), attitudes (S.D. = .32), accommodation (S.D. = .25), amenity (S.D. = .34) and advertising (S.D. = .33). The guidelines that were proposed to promote local community participation in the development of agrotourism included: 1) promoting agrotourism in the Ban Mor Village through advertising 2) improving local facilities to respond tourists’ needs and expectation, 3) establishment of a local agricultural learning center 4) building agrotourism networks, and 5) promoting the roles of the young members of the community in agrotourism.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".