Is the garden village an age-friendly planning model? Experiences of growing older in Rhiwbina Garden Village, Wales
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Society is ageing. There is a pressing need for planning and policy to help create, maintain and manage age-friendly environments This article explores the potential of the garden village concept as model for a more age-friendly future. We examine the age-friendly and garden village conceptual models and use a mixed-methods approach to explore the demographically ageing case study of Rhiwbina Garden Village, a northern suburb of Cardiff, Wales. We found that several age-friendly characteristics aligned with the garden village concept, including the importance of green space, access to public transport and the accessibility and frequency of community activities. Furthermore, place-based self-sufficiency, an outcome attribute of garden villages, is a crucial factor for ageing well. The age-friendly benefits of garden villages can inform future planning considerations to communities of all shapes and sizes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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