Age-Friendly Built Environment: Examining the Downtown Core of the City of Kingston, Ontario
Bibliographic record
Abstract
The topic of planning senior-friendly neighborhoods is important for urban planners because of the demographic shift that Canada is experiencing. Since seniors tend to age in place, this will affect every community, therefore it s important that planners work to create communities that facilitate age-friendly living. This research aims to evaluate the downtown of the City of Kingston’s physical environment, how the environment encourages or inhibits activities such as walking for older adults and as a result evaluate the age-friendliness of this environment. The report proposes recommendations that can be taken by the City of Kingston to improve the age-friendliness of the downtown core. The goal of this report was to identify the age-friendliness of Kingston’s downtown-built environment. The aim of this research was to evaluate the City of Kingston’s downtown outdoor spaces and buildings, against the World Health Organizations (WHO) age-friendly guidelines and make recommendations.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".