Discovering the hotel selection factors of vegetarians: the case of Turkey
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".