Parental Divorce: The Experience Among Second Generation Chinese-Canadian Women
Bibliographic record
Abstract
As a Chinese-Canadian woman, my experience of parental divorce has increased my awareness of the effects of culture and gender on the development of personal identity. Although existing literature has acknowledged that parental divorce significantly impacts the lives of children within a western context, the consequences of parental divorce on the adjustment of children from Chinese families, including the long-term impact, is largely unknown. As parental separation is seen to sharply intersect with developmental pathways, it may have long term implications for the development of identity later on, particularly during emerging adulthood, a time of reflection on prior life experiences. The objective of this study was to explore second generation Chinese-Canadian women’s understanding of the experience of parental divorce during childhood, and its influence on identity development during emerging adulthood. Semi-structured interviews were conducted with six second generation Chinese-Canadian women who had experienced parental divorce in childhood. Interpretative Phenomenological Analysis was used to examine how individuals understand this experience, resulting in five overarching themes: (a) Parental Divorce Within the Chinese-Canadian Culture; (b) Influence of Parental Divorce on Family Relationships; (c) Influence of Parental Divorce on Romantic and Platonic Relationships; (d) The Process of Adjusting to Divorce; and (e) Developing Self-Identity. These findings are examined within the context of the relevant literature, and implications for future research and counselling 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".