Involvement in Agro-Tourism Activities among Communities in Desa Wawasan Nelayan Villages on the East Coast of Malaysia
Bibliographic record
Abstract
Over the years, most developing countries across the globe have identified agro-tourism activities as being able to assist their respective country’s development. Malaysia is no exception to this; the country has emphasized agro-tourism as a significant tool of development and poverty eradication, and perhaps, at the same time, a key strategy by which to address the problem of rural migration. The Fisheries Development Authority of Malaysia, also known as LKIM, has been playing a part in responding to the government’s call to develop the agro-tourism industry in Malaysia. LKIM has taken steps towards formulating an agro-tourism program for fishing communities called Desa Wawasan Nelayan. The purpose of this paper is to determine the level of involvement in agro-tourism amongst fishing communities in the east coast region of Malaysia. The study was conducted amongst 220 respondents from two villages in Terengganu and Kelantan. The findings of the research reveal that despite the government’s intervention in promoting agro-tourism activities throughout the nation, the level of involvement amongst respondents is still at a moderate level.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".