“Please Wait, Your Policy is Important to Us” issue prioritization, the ACF, and Canada’s failed attempts at cannabis decriminalization, 2003–2005
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
In Canada, in the early 2000s, the decriminalization of cannabis for recreational use seemed imminent. Between 2003 and 2005, three government decriminalization bills were introduced in the Canadian House of Commons, but none were adopted, and decriminalization efforts were abandoned. Subsequently, Canada went beyond decriminalization and legalized recreational cannabis in 2018. This paper examines why the Canadian decriminalization efforts failed, using the Advocacy Coalition Framework (ACF) and ACF policy change theory. Three ACF-based hypotheses to explain the failed reform attempts are developed and investigated, but none are empirically supported. A fourth hypothesis is developed using information processing insights from Punctuated Equilibrium Theory (PET) but adapted to the ACF. This hypothesis is empirically supported showing that Canada’s decriminalization efforts failed, despite a supportive advocacy coalition, favourable conditions in the cannabis policy subsystem and favourable conditions in the Canadian political system, because its systemic advocates did not give it priority relative to other issues from other subsystems. This finding has implications for ACF policy change theory, identifying a necessary condition for major policy change that has been potentially overlooked, and illustrates the potential for cross-fertilization between PET and ACF theories of policy change.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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