A sign language journey to the land of smiles: Thailand study abroad
Bibliographic record
Abstract
This qualitative study focused on the synergistic experience of a group of Deaf1 and hearing participants during a 2-week international study-abroad program to investigate the impact of immersing hearing American Sign Language (ASL) undergraduate majors with culturally Deaf faculty and doctoral students. 20 participants included undergraduate students who were ASL majors, Deaf doctoral students, faculty members, and an interpreter. Data included narratives with the Deaf faculty leader and the hearing ASL interpreter, a content analysis with the hearing undergraduates, and a section focused on the Deaf perspective with a thematic analysis with the Deaf faculty, students, and alumni. 6 themes emerged in the discussion of students' experiences during the tour in Thailand, including being immersed into the Deaf world, the challenge of not comprehending what was happening, the patience of the Thai people, experiencing cultural differences, receptive skills improving, comprehension increasing, and issues related to scheduling of events. The impact of both international and multicultural influences are discussed. Additionally, recommendations for travel agencies that work with Deaf study-abroad leaders are included.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".