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Record W2884798579 · doi:10.1108/tr-11-2017-0175

Discovering the hotel selection factors of vegetarians: the case of Turkey

2018· article· en· W2884798579 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

VenueTourism Review · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsBrock University
Fundersnot available
KeywordsMarketingTourismBusinessOriginalitySanitationValue (mathematics)Environmentally friendlyAdvertisingGeographyPsychologyEngineeringComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this study was to investigate the hotel selection preferences of vegetarians in Turkey. Design/methodology/approach The questionnaire used in this study had four main sections: animal and environmentally friendly hotel attributes; hotel features and facilities; hotel food and beverage services; and demographic and travel information of respondents. Data were collected by way of face-to-face questionnaires from 328 self-identified vegetarians who visited the first vegan/vegetarian event – “Didim VegFest” – in Turkey on 29-30 April 2017. Findings Eco-animal friendly hotels, customer requests and animal friendly and environmental ethics (main Factor 1); comfort and value, facilities and security, the natural environment and the staff and their services (main Factor 2); standards and sanitation, sensibility, atmosphere and knowledge (main Factor 3) were identified as the main hotel selection factors of vegetarians in Turkey. Originality/value This study is the first of its kind in the tourism literature.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.242
Teacher spread0.234 · 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