Exploring recent immigrant children’s perceptions of interactions with parents before and after immigration to Canada
Bibliographic record
Abstract
Immigration is a major life experience that changes family dynamics and can increase stress and internalizing symptoms in some children. Very few studies have documented these changes using the perspectives of children themselves. This study relied on a convergent mixed-method design (quan + QUAL) and focused on the family representations after immigration of 33 children (6–13 years) who had recently immigrated to Canada. To explore the distinctions between children who experienced this transition more positively and less so, participants were divided into two groups according to whether they had low/normative (n = 23) or clinically significant (n = 10) levels of internalizing symptoms. Family dynamics in the immigration context were documented and compared between the two groups with the aim of identifying potential risk or resilience factors that are significant from children’s perspectives. In both groups, children reported increased time spent with their father following immigration. Children with low/normative internalizing symptoms reported greater diversity in interactions with their parents after immigration. A need for cohesion was frequently mentioned by children who had clinically significant internalizing symptoms. By drawing attention to factors considered important from the perspectives of immigrant children, this exploratory research will help future studies to identify potential resilience factors in that young population.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".