Spatial accessibility and equity of playgrounds in Edmonton, Canada
Bibliographic record
Abstract
Assessing spatial equity with respect to urban public amenity provision involves examining the association between amenity distribution and population need for amenities. Geographic Information Systems in coordination with local spatial autocorrelation, were used to investigate the association between neighbourhood accessibility to playgrounds and demographic and social need for playgrounds in Edmonton, while considering differences in playground quality throughout the city. The primary objectives of this study were to assess whether playground provision, for location and quality, in Edmonton is equitable and, more generally, to investigate the role that amenity quality plays in assessing spatial equity. The results indicate that playgrounds are equitably distributed within Edmonton, with the highest‐social‐need neighbourhoods having the greatest accessibility to playgrounds. However, once differences in playground quality are considered, there is less of an association between high‐social‐need and high‐accessibility areas. The findings suggest that greater attention be paid to differences in playground quality within Edmonton and that spatial equity researchers give greater consideration to amenity quality when evaluating spatial equity within cities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 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) | 0.004 | 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".