Stature and adiposity among children in contrasting neighborhoods in the city of Hamilton, Ontario, Canada
Bibliographic record
Abstract
It is hypothesized in this study that body size and shape vary by local area within the North American urban environment. This study tests that hypothesis by comparing stature and adiposity among children (of age 6-10 years) attending elementary schools in three neighborhoods that contrast by socioeconomic status and recent immigrant status. While the whole sample of children (n = 266) has 27.4% of children that can be classified as overweight/obese (> or =85th percentile for body mass index), analysis by socioeconomic status (SES) reveals that there are approximately twice as many children in the overweight/obese category in the two low-SES schools compared to the high-SES school. Further analysis by individual school indicates that the school in the poorest neighborhood has a statistically significantly lower mean height-for-age Z score relative to the most affluent school. It is concluded that the influence of socioeconomic, demographic, and environmental factors on stature and adiposity can be investigated through studies such as this one that consider local area variation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".