NAVIGATING THE CUMULATIVE EFFECTS OF FAMILY LANGUAGE POLICY DURING CHILDHOOD FOR IMMIGRANT YOUTH IN CANADA
Bibliographic record
Abstract
One of the most influential decisions that immigrant parents must make for their children involves establishing a set of rules and norms governing what language(s) they will be raised with and how they will acquire proficiency in the dominant languages of the host society, a process known as family language policy. Such decisions can have long lasting effects for immigrant children into adulthood by influencing their integration into the host society and transition towards adult life. Using retrospective, in-depth interview data collected from young immigrant adults, this study explores the ways that parental decisions made throughout an immigrant child’s life course regarding language use and learning shape their multilingual identity and attitude towards the use of multiple languages in their everyday adult life. Findings suggest that the linguistic decisions parents make in the early years of an immigrant youths’ life have lasting impacts on them in terms of connecting to family members and culture in adulthood. We found that when parents created either a flexible or strict family language policy, such policies produced more positive experiences in the migration and early settlement process for immigrant youth compared to those whose parents did not form a family language policy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".