Parent–Child Relationships Among African Immigrant Families in Canada
Bibliographic record
Abstract
Objective To examine the factors that influence parent–child relationships in African immigrant families in Alberta, Canada. Background African immigrants are increasingly migrating to high‐income countries, including Canada, in search of a better life. These immigrants often face several challenges, including parenting their children in new sociocultural contexts. We present findings from a critical ethnographic study of parent–child relationships among African immigrants in Alberta, Canada. Method Informed by transnational feminist theory, we conducted interviews with 14 African immigrant community leaders, 31 African immigrant parents, and 12 service providers and policymakers. Results We found that conflicting cultural practices and value systems, shifting power relations, low socioeconomic status, and gender relations exert both beneficial and strenuous influences on parent–child relations. Conclusion The determinants of parenting practices and parent–child relationships include the intersecting influences of gender, social class, culture, and changing power relations across transnational spaces. Implications Our findings suggest several policy and practice implications. In particular, we suggest a need to attend to diverse determinants of child well‐being, including income, gender relations, culturally sensitive service delivery, and changing power relations across transnational spaces.
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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 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".