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Record W2039833844 · doi:10.1177/1096348010384600

Residents’ Satisfaction With Community Attributes and Support for Tourism

2010· article· en· W2039833844 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Hospitality & Tourism Research · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTourismStructural equation modelingAntecedent (behavioral psychology)Latent variableMarketingScope (computer science)Sample (material)Social exchange theoryPerceptionPsychologyPath analysis (statistics)VariablesBusinessSocial psychologyGeography

Abstract

fetched live from OpenAlex

This study develops and tests a structural model of residents’ support tourism development, with the social exchange theory as its theoretical base. The model incorporates three exogenous latent variables, namely, community satisfaction with neighborhood conditions, community commitment, and satisfaction with community services. Perceived positive and negative impacts of tourism are proposed as the mediating variables between the exogenous latent variables and the ultimate dependent variable, given as support for tourism. Eight path hypotheses are proposed and tested using a sample of 363 residents. Perceptions of tourism impacts were found to influence support for tourism development. Findings also suggest that residents’ satisfaction with neighborhood conditions and community services are important determinants of perceived positive and negative impacts of tourism. Community commitment was found not to be an antecedent of attitudes to tourism. The practical implications of the study are discussed, together with its limitations and scope for future research.

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.

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)0.023
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.072
GPT teacher head0.409
Teacher spread0.337 · 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