Tourist Attitudes toward Traveling in Thailand after the Political Demonstrations and Protests
Bibliographic record
Abstract
The objective of this research was to explore tourists’ practices in Thailand duringthe demonstrations in terms of security, information and tourists’ perceptionsabout the political problems. The study was limited to the Bangkok area, which is surrounded by many important institutions including the main international airport, Suvarnabhumi, which was shut down by the protesters. Using a random sampling process, the respondents were 200 male and female tourists of various nationalitieswhowere presentduring the demonstrations. Responses were gathered in tourist areas such as Bangkok, Sukhumvit, Kaosan Road, Suwannaphumi Airport, and Silom Road. The findings showed that the demonstrations have short-term negative effects on tourism but no long-term impact; most respondents stated they were willing to come back to Thailand. However, they did suggest Thailand could improve in terms of providing information to people, tourism security and regaining political stability to bring backthe imageof apeaceful country. Significant relationships were found between the demonstrations and tourists’ feelings. Implications and recommendations are provided for tourism businesses in Bangkok as well as for the entire tourism industry in Thailand.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".