Characteristics of participants visiting the Canada on the move website. Canadian Journal of Public Health-Revue Canadienne de Sante Publique
Bibliographic record
Abstract
Background: The Internet is a potential medium to attain large groups of Canadians for physical activity monitoring and interventions, however, little is known about the characteristics of participants who could be recruited on a national level. Our objectives were to determine: 1) the extent to which our sample was representative of the Canadian population; 2) the demographic, social-cognitive and physical activity behaviour, and environmental characteristics of one-time and multi-time users of the Canada on the Move website; and 3) whether certain recruitment strategies were more likely to reach specific demographic subgroups. Methods: Web-based self-report measures were collected on demographic, social-cognitive, physical activity behaviour, and environmental factors. Descriptive statistics were employed to address the study’s research objectives. Results: Significant differences (p<0.001) were found between our total sample and 2001 Canadian census/Canadian Community Health Survey (CCHS) data on all demographic and physical activity behaviour measures. One-time and multi-time users significantly
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".