Generation of Immigration and Body Mass Index in Canadian Youth
Bibliographic record
Abstract
OBJECTIVE: To investigate the role of acculturation, as measured by generational status, on body mass index (BMI) in a sample of Canadian youth. METHODS: Population-based data from the National Longitudinal Survey of Children and Youth were used. Participants were divided into 2 age ranges: children aged 6-11 years (n = 14,287) and adolescents aged 12-17 years (n = 12,155). Youth were classified into one of five generations of immigration: first-generation, second-generation, mixed-generation, third-generation, and Aboriginal. Parent- and self-report height and weight were used to calculate BMI Z-scores. RESULTS: Generation of immigration was significantly related to BMI Z-score in both childhood and adolescence. First-generation immigrants had more weight gain compared to other groups during adolescence, but not during childhood. CONCLUSIONS: Acculturation, as measured by generation of immigration, is an important predictor of BMI in Canadian children and adolescents.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".