Language Proficiency, Use, and Maintenance among People with Vietnamese Heritage Living in Australia
Bibliographic record
Abstract
Multilingualism provides cultural, economic and social benefits to individuals and societies. Many people with Vietnamese heritage have migrated to English-speaking countries such as Australia, Canada and the US. This study describes language proficiency, use and maintenance of 271 adults with Vietnamese heritage living across Australia. The majority were first-generation immigrants (76.6%), spoke Vietnamese as their first language (94.3%), and indicated Vietnamese was their most proficient language (78.5%). The majority were more likely to use Vietnamese (than English) with their mother, father, older siblings, Vietnamese-speaking grandparents, relatives in Vietnam, and Vietnamese friends. They used English and Vietnamese with their partners, children, younger siblings and English-speaking grandparents. They were more likely to speak English when working, studying and watching TV, but used English and Vietnamese equally on social media. The most important reasons for maintaining Vietnamese were: maintaining bonds with relatives, maintaining Vietnamese cultural identity, and building friendships.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".