What Does It Take to Bring Housing Affordability to Non-Metropolitan Areas in Southwestern Ontario?
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
It has been widely recognized we are in a housing crisis with far reaching ramifications. The priority of actioning solutions has not been responsive enough to meet community needs, and a market driven economy has not served housing affordability well. All levels of government play a role in the complex system of housing policy, however impacts are felt most heavily at a local level. Communities cannot wait for senior levels of government to design and implement the needed systematic changes. Through the review of three case studies and perspectives garnered from industry leaders, this exploratory research project contributes to understanding what enabling conditions can influence housing affordability in non-metro areas. Solutions require land, a local champion, political will, housing expertise, and community support. Attitudes and capacities of those within these roles are as significant as the roles themselves; collaboration is required with a vision that everyone deserves a home.
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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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 it