To Raise a Bilingual or a Monolingual Child: Concerns of an Immigrant Mother
Bibliographic record
Abstract
The number of immigrant families in Canada and other Western countries has increased in the last several decades. Immigrant families face challenges in bringing up their children in a new country, such as different expectations from two different cultures, being away from their family and immediate support network, financial problems, and language limitations. One of the main concerns of most immigrant parents is their child's language acquisition. Language development is the most significant predictor of children’s success in school and later life. Regarding the vital role of language development in each aspect of life, it is essential to explore this growing population's experiences and challenges related to their children’s language acquisition. This qualitative study benefited from a narrative inquiry for representing and interpreting an immigrant mother's experiences and challenges in bringing up a bilingual child in Canada. This paper addresses the multiple conflicts affecting immigrant parents' decision to bring up a bilingual or monolingual child. Some of immigrant parents' main concerns, including passing on their accents, code-switching, language delays, limited social interactions and using screen time for teaching language are discussed in this paper.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".