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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".