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Record W3141376096 · doi:10.1080/02508281.2020.1816362

Conceptualizing cultural sensitivity in tourism: a systematic literature review

2020· article· en· W3141376096 on OpenAlexaffabout
Chris E. Hurst, Bryan S. R. Grimwood, Raynald Harvey Lemelin, Michela J. Stinson

Bibliographic record

VenueTourism Recreation Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsLakehead UniversityUniversity of Waterloo
Fundersnot available
KeywordsConceptualizationIndigenousTourismSociologyCultural sensitivityTourism geographyCultural tourismSocial scienceCultural identityIdentity (music)Environmental ethicsPublic relationsPsychologyPolitical scienceAestheticsEcologyLinguistics

Abstract

fetched live from OpenAlex

This study contributes to the conceptualization of cultural sensitivity in tourism based on an analysis of tourism and social science literatures associated with Indigenous peoples in Canada. The study used a systematic literature review methodology, which consisted of thematically analysing 56 English language, tourism and social science journal articles. Findings indicate that while cultural sensitivity is rarely explicitly defined, several themes are consistently used to illustrate what cultural sensitivity entails or should entail in tourism and other social science encounters. Themes include: (i) respect, (ii) trust, (iii) ethics, (iv) cultural identity, (v) mutual understanding and cultural exchange, (vi) self-determination, governance, and capacity building, and (vii) unique healing, wellness, and spiritual needs. In addition to describing these interrelated themes, the study proposes a definition of cultural sensitivity in tourism tethered to the contexts of Indigenous peoples in Canada.

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)0.011
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.145
GPT teacher head0.442
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.

Study designNot applicable
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

Citations22
Published2020
Admission routes2
Has abstractyes

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