A Pilot Study of an Attachment-Based Parenting Intervention for Mandarin-Speaking Families in Canada
Bibliographic record
Abstract
Objectives To address the gap in accessibility of mental health services for Mandarin-speaking families in Canada, this study evaluated the uptake, acceptability, and preliminary effectiveness of Connect for Mandarin Speaking Families , a culturally-inclusive and attachment-focused parenting program designed to promote youth and family wellbeing. Methods Participants were 17 birth and 1 kinship immigrant parents from China to Canada (age 39–69, M age = 49.42, SD = 7.25; 14 mothers; 4 fathers) seeking support for concerns about their children’s mental health problems (age 12–18, M age = 14.44, SD = 1.80; 27.8% male, 72.2% female). Parents completed self-report pre- and post-measures assessing their child’s mental health and evaluated the perceived fit and helpfulness of the program in this single-arm pilot study. Results Preliminary evidence was found for the program’s effectiveness in reducing adolescent emotional and behavioural problems and improving family satisfaction. Importantly, parent attendance and retention were high (85%), and parents reported the program was very helpful and a good fit with their cultural values. Conclusions This pilot study is among the first to evaluate a culturally-inclusive, attachment-based parenting intervention for Chinese immigrant families in Canada, delivered in their native language. Future research with larger samples and further adaptations to address immigrant-specific family challenges is warranted.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".