Advocacy Coalitions in Ontario Land Use Policy Development
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
Abstract In 2005, the Ontario government passed the Places to Grow Act and the Greenbelt Act, both major changes in land use policy designed to preserve greenspaces and combat urban sprawl in the Greater Golden Horseshoe, Canada's largest conurbation. This article examines the actors, actor beliefs, and inter‐actor alliances in the southern Ontario land use policy subsystem from the perspective of the Advocacy Coalition Framework (ACF). Specifically, this paper undertakes an empirical examination of the ACF's Belief Homophily Hypothesis, which holds that inter‐actor alliances form on the basis of shared policy‐relevant beliefs, creating advocacy coalitions. The analysis finds strong evidence of three advocacy coalitions in the policy subsystem—an agricultural coalition, an environmentalist coalition, and a developers' coalition—as predicted by the hypothesis. However, it also finds equally strong evidence of a cross‐coalition coordination network of peak organizations, something not predicted by the Belief Homophily Hypothesis, and in need of explanation within the ACF.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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