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Record W2111559778 · doi:10.5539/ass.v9n5p1

Challenges and Community Development: A Case Study of Homestay in Malaysia

2013· article· en· W2111559778 on OpenAlexvenueno aff
Arif Kamisan Pusiran, Honggen Xiao

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismBusinessGovernment (linguistics)Product (mathematics)Community developmentMarketingEconomic growthPublic relationsPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Homestay programme, which was introduced in 1988, has become the iconic rural tourism product highlighting Malaysian cultural and traditional ways of life. The concept of Homestay is whereby a tourist stays together with the host family and interacts with the local community for a reasonable charge. This paper presents a review of community development through the Homestay programme in Malaysia as well as to review challenges facing the Homestay operators and community. Due to the potential of homestay in providing additional income and employment within the community, more participants have become motivated and encouraged to run the Homestay programme. Research methodology using content analysis approach was adopted in analyzing the data. The study revealed the many aspects of development, issues and challenges arising encompassing the stakeholders namely the Homestay operators, community and government agencies.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0150.005
Scholarly communication0.0030.003
Open science0.0020.006
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.078
GPT teacher head0.367
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations135
Published2013
Admission routes1
Has abstractyes

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