Bibliographic record
Abstract
OBJECTIVES: This article compares rates of overweight/obesity and obesity and food consumption patterns of off-reserve Aboriginal and non-Aboriginal people aged 19 to 50 in Ontario and the western provinces. DATA SOURCES; The data are from the 2004 Canadian Community Health Survey: Nutrition (cycle 2.2). ANALYTICAL TECHNIQUES: Cross-sectional analyses were used to estimate the percentages of individuals who were overweight/obese or obese and average nutrient consumption, based on Aboriginal identity and other selected characteristics. Logistic regression was used to determine the independent influence of Aboriginal identity on overweight/obesity and obesity. MAIN RESULTS: In 2004, the overweight/obesity and obesity rates of off-reserve Aboriginal people aged 19 to 50 were higher than those of the non-Aboriginal population. These overall differences primarily reflected higher rates of overweight/obesity and obesity among Aboriginal women. At ages 19 to 30, these differences can partly be explained by higher calorie intake by Aboriginal women, despite identical energy needs, based on height, weight, age and physical activity. Most of the excess calories are eaten as snacks and come from "other foods".
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".