Influence of Perceived Racial Discrimination on the Health of Immigrant Children in Canada
Bibliographic record
Abstract
Racial discrimination and racism are recognized as determinants of health for adults. Less is understood regarding the influence of discrimination targeted towards parents, the family, or the cultural and children's health. Data from the New Canadian Children and Youth Study (NCCYS) are used in this paper. The NCCYS is a national, longitudinal study of children whose families settled in urban centers of Canada. We analyzed data from individuals who settled in the metropolitan Vancouver area from six ethnic communities: Mainland China, Hong Kong, the Philippines, Iran, Afghanistan, and the Punjab who were interviewed at two times, approximately 2 years apart. Data were collected on perceived parental, family, and cultural discrimination. Our dependent variable was parent-reported child health status. Over time, perceived parental discrimination and perceived family discrimination decreased; and both forms of discrimination had a positive effect on child health. In contrast, perceived cultural discrimination increased over time and had a negative effect on child health at both times. Different forms of discrimination have different effects on child health. Racial discrimination is complex. Its influence on either increasing family cohesion, and thereby leading to improved health, or increasing stress, thereby leading to poorer health needs to be explored further.
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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".