Good Planning or Good Intentions
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
Cities across Canada are aging—fast. As the “baby boom” generation enters older adulthood, cities are facing a dramatic demographic shift. However, it is unclear whether cities in Canada are prepared to meet the needs of the growing older adult population. Through the case study of one of Canada’s demographically oldest cities, Victoria, BC, we assess the age-friendliness of local plans and policies. Specifically, we conduct a plan evaluation content analysis to assess the city’s Official Community Plan and supporting statutory plans to determine whether the city is truly planning for an age-friendly environment. We find that while the city is aware of the aging population, it fails to explicitly mention or provide targeted policies for older adults in its planning documents. We unpack the practical challenges of planning for an aging population and provide targeted recommendations for municipalities to incorporate age-friendly elements within their statutory plans.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| 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