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Record W2235034515

The implications of streetscape improvement on tourist behaviour at the old quarter of Melaka

2006· dissertation· en· W2235034515 on OpenAlexaboutno aff
Nurulhalim Hassim

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Visitor patternTourismListing (finance)World heritageOrder (exchange)GeographyMarketingPsychologyBusinessComputer scienceArchaeologyFinance
DOInot available

Abstract

fetched live from OpenAlex

Melaka is currently applying to be listed as a World Heritage Site. The Old Quarter of Melaka is a part of the conservation area under consideration. In the year 2004, streetscape improvement was completed here. This introduction caused various implications to the behaviour of those utilising this area. In the case of the Old Quarter of Melaka, tourist was one such group. In order to fulfil new tourists need and behaviour, many changes have taken place in this area. Would these changes affect Melaka’s application for the listing? Using quantitative method, this research began by identifying who are the tourists visiting this area, the sites they visited, the activities they participated in, and information and experience they sought. All these factors contribute in determining what was their behaviour within this area. By utilising the Expectation Disconfirmation Method, a clear picture was unveiled about the level of their pre-trip expectation compared to their actual experiences. Their overall satisfaction level was also ascertained. The outcome of this research highlighted the urgency for the need of proper visitor management techniques in order to minimize negative impact and ensure the success of Melaka in becoming a World Heritage Site

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.332
Teacher spread0.318 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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