How the Canadian sentencing system impacts policy reform: An examination of the Harper era
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 During the Harper era (2006–2015), the Canadian government actively pursued criminal justice policy reform. Many of its efforts focused on reforming the Canadian sentencing regime by increasing the severity of penalties, including expanding mandatory minimums. Yet, Canada's rate of incarceration remains stable. The inconsistency between the considerable focus on sentencing policy by the Harper government and the lack of significant change in incarceration rates merits further scrutiny. This contrast between policy effort and policy impact also presents an opportunity to examine how the context of criminal justice policy in Canada influences the nature of policy reform. Taking up this focus, this article articulates the context of Canadian criminal justice policy and considers how this context shapes the policymaking process and policy reform.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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