Language brokering, acculturation, and empowerment: evidence from South Asian Canadian young adults
Bibliographic record
Abstract
The present study examined the practice of language brokering (LB) among South Asian Canadian college-age adults and how such practice relates to acculturation to mainstream and heritage cultures, as well as personal empowerment. One hundred and twenty-four young adults reported on three different indices of LB (brokering frequency, diversity of people, and diversity of items translated), as well as measures of acculturation to mainstream and heritage cultures, and personal empowerment. Whereas brokering frequency and number of people one brokers for were not related to acculturation, findings suggested that the wider the range of items and topics brokered, the stronger the reported acculturation to both mainstream and heritage cultures. Further, brokering for a more diverse pool of individuals was predictive of more individual empowerment, whereas brokering frequency and diversity of items translated were not related to empowerment. Findings point at the importance of going beyond brokering frequency to examine multiple indicators of brokering as they relate to acculturation and personal empowerment. Limitations and future research directions are discussed.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".