A Culturally Relevant "NoBody's Perfect" Parenting Program for African Immigrant Women in Canada
Bibliographic record
Abstract
This study examines the curriculum and impact of The Nobody’s Perfect parenting program delivered by the Public Health Agency of Canada. Specifically, the study challenges notions of this program as an adaptable and effective model for training first time, young and immigrant mothers in parenting skills that empower both families and children. The present study highlights the program’s deeply Eurocentric and Western values and imaginations through the case of 17 African immigrant mothers whose voices and knowledge are erased and devalued by such modern Canadian parenting training schemes presuming these racialized women’s cultures backward and their childrearing experiences unusable in the Canadian context. Drawing from 17 personal interviews with immigrant women from 12 countries in Africa, the study illuminates the complex nature of the childrearing experiences of these women, shining light especially on their transnational and hybridized parenting practises informed by African and indigenous cultural values and beliefs yet already internalized parental models disseminated by European colonialism and political domination over Africa. The analysis leads to recommendations for ways to ground parental support in Canada in immigrant cultures thus positioning immigrant children and families for prosperity and wellbeing in Canada.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".