Critical junctures as complex processes: examining mechanisms of policy change and path dependence in the Canadian pandemic response to homelessness
Bibliographic record
Abstract
Abstract Policy change is not an instantaneous or linear process. In fact, change includes several mechanisms working in tandem and even against one another. This article examines the impacts of the COVID-19 pandemic on homelessness policy in Canada. In a sector that is already plagued with emergency responses – rather than long-term solutions – the pandemic has initiated a critical juncture where policy change is possible, but not guaranteed. Although the existing failures to alleviate homelessness in Canada make policy failings even more obvious, aspects of the pre-existing Canadian response to homelessness negate change. The pandemic, however, has led to temporary solutions and created a setting where long-term change is possible. Using over 150 primary sources, this article analyses mechanisms of change and path dependence in the pandemic response to homelessness. The presence of such mechanisms is tested in three major Canadian cities.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".