Studying the Motivations of Choosing Foreign Tourism Destinations: Case Study of Thailand
Bibliographic record
Abstract
Nowadays tourists choose their destinations according to their taste, conditions and provided facilities. Aimed at psychologically understanding the reasons of travelling and the attraction of trip destinations, the scientists have presented different patterns for the travelling and the choice of trip destination. This study has been done in order to realize the motivations of choosing Thailand as a trip destination by tourists departed from Isfahan. The study is methodologically descriptive-analytic and is done in 2014. In total, 384 people were chosen through Cochran formula among the whole population –including all the tourists departed from Esfahan to Thailand- in order to achieve the goals of the research. The results of the research show that the existence of cheap attractive centers and proper currency of Iran and Thailand and also on the other hand beach attractions in Thailand affect the choice of this country as a tourist destination but the men’s and women’s motivation of choosing this country as a tourist destination differs significantly.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".