What Factors Shape Canadian Housing Policy? The Intergovernmental Role in Canada’s Housing System
Bibliographic record
Abstract
“Housing Policies provide a remarkable litmus test for the values of politicians at every level of office and of the varied communities that influence them. Often this test measures simply the warmth or coldness of heart of the more affluent and secure towards families of a lower socio-economic status. ” – John Bacher, 1993, 16. This paper provides a brief overview of the nature of Canadian housing policy and the role played by government. It is not about Canada’s current housing problems. Rather, it seeks to outline an improved conceptual framing for thinking about housing problems and the role played by the different levels of government in Canada’s housing system. Three main ‘building blocks ’ for such a conceptual framing are discussed. First is the need to recognize that each country develops a relative unique housing system – a method of ensuring (or not) that enough good quality housing is built, that there is a fair housing allocation system, and that the stock of housing is properly maintained. Government plays the central role in creating, sustaining and changing this system. It establishes and enforces the ‘rules of the game ’ through legislation defining everything from banking and mortgage lending practices to tax and regulatory measures affecting building
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".