Relating Built Environment to Physical Activity: Two Failures to Validate
Bibliographic record
Abstract
The Irvine-Minnesota Inventory (IMI) is an audit tool used to record properties of built environments. It was designed to explore the relationships between environmental features and physical activity. As published, the IMI does not provide scoring to support this use. Two papers have since been published recommending methods to form scales from IMI items. This study examined these scoring procedures in new settings. IMI data were collected in two urban settings in Alberta in 2008. Scale scores were calculated using the methods presented in previous papers and used to test whether the relationships between IMI scales and walking behaviors were consistent with previously reported results. The scales from previous work did not show expected relationships with walking behavior. The scale construction techniques from previous work were repeated but scales formed in this way showed little similarity to previous scales. The IMI has great potential to contribute to understanding relationships between built environment and physical activity. However, constructing reliable and valid scales from IMI items will require further research.
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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 | 0.198 | 0.411 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".