Understanding the Impact of the Modifiable Areal Unit Problem on the Relationship between Active Travel and the Built Environment
Why this work is in the frame
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Bibliographic record
Abstract
This study examines how the relationship between active travel (AT) and the built environment is influenced by the modifiable areal unit problem (MAUP). Characteristics of the built environment are measured at 14 geographical scales. At each scale, these characteristics are related to a binary measure of AT using a logit model. The data for this study come from the Space–Time Activity Research (STAR) project, which was conducted in Halifax, Canada, between April 2007 and May 2008. The variable coefficients and their significance are examined for MAUP influences. The results suggest that the relationship between AT and the built environment is indeed impacted by the MAUP. The results are used to suggest guidelines for selecting an appropriate scale at which to measure the built environment in order to minimise MAUP effects.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it