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Record W2383870697 · doi:10.1177/1468797615594744

Travelers’ experiences of authenticity in “hill tribe” tourism in Northern Thailand

2015· article· en· W2383870697 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

VenueTourist Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNetnographyTourismTribeTourist attractionEthnic groupChiang maiSociologyCultural tourismGeographyAdvertisingMedia studiesAnthropologyEthnologySocial mediaTourism geographyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

This study examines how tourists experience authenticity and the ethics of “hill tribe” trekking in northern Thailand, and what they learn as a result of their touristic encounters. A “netnography” methodology was used to analyze on-line data from travelers’ touristic encounters with highland people in two sites. The first was the on-line reviews, blogs, and videos of travelers’ experiences in Baan Tong Luang, a multi-ethnic “hill tribe village” tourist attraction outside of Chiang Mai. The second was the blog and video reviews of visitors to three exemplary “community-based tourism” highland village sites. Findings show a variety of complex understandings of authenticity, both “objective” and “constructivist.” For community-based tourism reviewers in particular, authenticity was understood as a hybrid, fluid concept which derived from meanings ascribed to objects, practices, and place; personal relationships with hosts; and opportunities for cultural learning afforded visitors.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.115
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.118
GPT teacher head0.391
Teacher spread0.273 · 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