The child rearing experiences of newcomer mothers after taking a parenting program in Winnipeg
Bibliographic record
Abstract
Canada is a nation known for being highly multiethnic due to its rich history of immigration. But many immigrant parents struggle with acculturation and, at the same time, they are faced with the challenge of raising their children in a new country. This study explored the process of transition among newcomer mothers living in Winnipeg. Using a qualitative approach, ten in-depth interviews were conducted to gain a greater understanding of the process that parents go through as they learn about a particular disciplinary approach - Positive Discipline in Everyday Parenting (PDEP). Four main themes emerged: 1) the meaning of parenting; 2) a new vision of parenting; 3) conflicting notions of discipline; and 4) navigating the acculturation gap. Each primary theme had several sub-themes that expressed the process of transition to a new parenting context. Many mothers had experienced corporal punishment as children but none approved of it. They explained that PDEP had provided them with a new non-violent vision of parenting. Mothers described the parenting changes they had made and how their confidence had increased since learning about PDEP. They also described the impact that the loss of extended family support had on parenting dynamics. Although some of the mothers observed that the PDEP program had not decreased the acculturation gap between them and their children, it had helped them to better understand their children’s perspectives. The implications of the findings for professionals who support newcomer parents 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 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".