MétaCan
Menu
Back to cohort
Record W4242077540 · doi:10.21837/pmjournal.v17.i9.592

RURAL AGRO-TOURISM AND LOCAL COMMUNITY INCOME: THE CASE STUDY OF CLUSTERED HOMESTAYS IN KELANTAN AND TERENGGANU

2019· article· en· W4242077540 on OpenAlexfundno aff
Syahriah Bachok, Hafizah Hasbullah, Tuan Anisdina Tuan Mohd Amin

Bibliographic record

VenuePLANNING MALAYSIA · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
FundersUniversity of the Fraser Valley
KeywordsTourismChristian ministryAgricultureRural tourismProduct (mathematics)BusinessDistribution (mathematics)GeographyRural areaEconomic growthMarketingSocioeconomicsAgricultural economicsTourism geographyEconomicsPolitical science

Abstract

fetched live from OpenAlex

This research outlines the analysis of income generation basing on agro-cultural tourism of homestays under the purview of Ministry of Tourism and Culture of Malaysia. Using a case study of Kelantan and Terengganu, the research elaborates on the levels of income generated from agro-tourism, distributions, administrations, factors leading to the success of homestays in generating additional income and strategies of infrastructural improvements of homestay. Tourism is one of the largest contributing sectors (13%) to the National Gross Product (RM153 billion) in 2015. Agro-tourism provide opportunities for the visitors to stay and experience the life of an agriculture community in rural areas. Kelantan and Terengganu are rich with agricultural produce, thus have the advantage of showcasing the unique attractions to various tourists’ types. Homestays in Kelantan and Terengganu are limited in research. Hence, this research aims to assess the rural agro-tourism and local community income generated from homestays in Kelantan and Terengganu.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.323
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuePLANNING MALAYSIASame topicDiverse Aspects of Tourism ResearchFrench-language works237,207