Measuring Intercultural Sensitivity of Thai University Students: Impact of their Participation in the US Summer Work and Travel Program
Bibliographic record
Abstract
As we are now approaching the first quarter of the 21st century, the impact of globalisation has increased the importance of intercultural competence. This study aims to measure the degree of intercultural sensitivity of 30 English major students who have participated in the US Work Travel program. In this study, an online survey adopted from Chen and Starosta (2000)’s Five-Factor Model of Intercultural Sensitivity was used to collect the data. Although participants were English majors who had high level of English proficiency, the level of their intercultural sensitivity was not high enough to claim that it resulted from the program. In addition, they reported not to have much confidence and motivation to interact with people from different cultural backgrounds. Therefore, the program might not actually benefit and help Thai students to develop intercultural skills, the skills needed to meet the challenges of the 21st century. It is hoped that this study could be useful for teachers, or even parents, to decide whether or not, they would support the students to participate in the program in the future.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".