A Study on Health Literacy of International Students in Australia
Bibliographic record
Abstract
Due to the rapid development ofteclmology and transportations, the number of international students pursuingtertimy education in developed counh'ies is increasing dramatically. These intemational students move jiom differentcountries to developed countries, such as America, Australia, Canada and the United Kingdom. This paper reports astudy wllich investigated intemational students' views on of the conceptual and fimctional aspects health literacy. Thisstudy involved the participation of 45 international students fi'om different language and cultural backgrounds. All theseparticipants completed an online survey, while seven of them a/tended semi-structured interviews. At the time theresearch was conductecl, these students were studying in different faculties/disciplines at the University of Tasmania,Australia. Using data jiom semi-interviews and questionnaires, the findings of this study showed that demographicfactors such as cultural background, educational background, and English level are influential to intemational students'health literacy. However, there is no finding indicating the occurrence of unawareness of health literacy among theseparticipants. Some recommendations and suggestions deprived fi'om the whole study are also presented.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".