Chinese Canadian young adults' experiences of parental monitoring
Bibliographic record
Abstract
This dissertation focuses on the family experiences of Chinese Canadian young adults raised in immigrant families. Drawing on contextual and transactional theories of development and parenting, this dissertation investigates Chinese young adults’ experiences and interpretations of parental monitoring and their links to youth well-being and family functioning. There is a relative lack of knowledge about the nature and interpretations of Chinese immigrant parenting in young adulthood and a lack of consensus regarding the conceptualization of parental monitoring both in adolescence and in young adulthood in mainstream and immigrant populations. This research achieved several objectives in a series of three papers. In Paper 1, I uncovered the range of Chinese Canadian young adults’ perceived parental monitoring behaviours and motivations for such behaviours in a qualitative study using freelisting methodology. In Paper 2, I sought to understand the construct of monitoring in this demographic by creating a multidimensional measure of parental monitoring of Chinese Canadian young adults. In Paper 3, I explored how young adults’ unmet expectations for parental monitoring related to well-being using polynomial regressions and response surface analyses. This research addressed several gaps in the literature by extending the study of parental monitoring to young adulthood, adding to the scant literature on parenting of Chinese immigrant young adults, distinguishing between mothers’ and fathers’ parenting, and moving toward a more complete conceptualization of parental monitoring.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 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) | 0.002 | 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".