Is high socioeconomic position a privilege for everyone? Social inequalities among newcomer adolescents in Canada
Bibliographic record
Abstract
This paper investigated 3 social conditions of adolescent health: migration status, socioeconomic position, and bullying behaviours. The aim of this study was to investigate newcomer adolescents to Canada's experience of bullying behaviours, socioeconomic position, and self-rated health, and associations between these factors, compared with non-newcomers. This study represents results from a proportional sample of 21,750 adolescents in Canada recruited through the HBSC-Canada study 2017/2018 cycle. The associations between self-rated health and household socio-economic position (SEP), migration status, the four bullying behaviours were assessed via logistic regression analysis that took into consideration ethnicity, gender, grade-level, variations in sampling by using survey weights, and the nested nature of the data. Newcomers, low SEP adolescents, and those involved in bullying behaviours all reported poorer self-rated health than their counterparts. At first, there were no statistical differences in bullying behaviours across newcomer and non-newcomer youth. However, further sub-group investigation showed that when SEP is considered in this association, there are statistical differences. Bullying behaviours differed among newcomer adolescents based on household SEP. Newcomer youth who are affluent, were more likely to be victims of in-school victimization, of cyber victimization, and involved with perpetrating cyber bullying compared with non-newcomer youth living in deprivation. Migration, as a social condition and associate of health, when viewed at different levels of SEP is seen to be associated with bullying behaviours among adolescents in Canada, specifically cyberbullying behaviours of victimizing and perpetrating among high-SEP newcomer adolescents in Canada. Those living in deprivation are usually associated with poorer social and health outcomes relative to those living in affluence. This study's findings support intersectional approaches and analyses where intersections of adolescents' traits show unique associations with social and health outcomes. • Lower self-rated health was reported in newcomer adolescents. •Adolescents who perpetrated bullying or were victimized has lower self-rated health. •Newcomers at different affluence levels were associated with victimizing behaviours. •Affluent newcomers were more likely to be victimized and to perpetrate bullying.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".