The Emotional Work of Heritage Language Maintenance: Insights from a Longitudinal Study of Chinese–Canadian Bilingual Parenting
Bibliographic record
Abstract
Drawing on data from a three-year longitudinal study of 56 Chinese–Canadian families with early elementary school-aged children, this study explores Chinese immigrant parents’ lived-through emotional experiences of heritage language maintenance (HLM). Informed by Vygotsky’s concept of perezhivanie, thematic analysis of annual interview data reveals the mixed and refracted nature of parental emotions involved in Chinese language preservation and bilingual child-rearing. These emotional experiences were profoundly shaped by the intersection of environmental, personal, and situational factors and were deeply entangled with parents’ perceptions of and attitudes toward their children’s heritage language learning and use at home. The emotional work involved significantly influenced the parents’ language and literacy planning and HLM practices. By foregrounding the emotional dimensions of heritage language education, this study offers important implications for educational stakeholders seeking to support immigrant parents both emotionally and practically in raising bilingual children in the host country.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".