Penal reform ‘Canadian style’: Fiscal responsibility and decarceration in Alberta, Canada
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
To fulfil a political promise to eliminate the provincial fiscal deficit, the (conservative) Premier of Alberta cut all budgets by roughly 20 per cent in 1993–1994. As an unanticipated by-product, this political solution to a political problem resulted in a 32 per cent decrease in provincial imprisonment between 1993 and 1997. Economic imperatives created the catalyst for changes in imprisonment policies. However, the types of change and the mechanisms for achieving them reflected Canada’s specific history, culture and politico-legal structures. Decarceration was consistent with core Canadian values rooted in the long-standing belief in the need for restraint in the use of imprisonment and a lack of faith in its effectiveness as a crime control strategy. On the surface, this case study is yet another example of decarceration. However, the interactive and multi-factorial explanatory model underlying Alberta’s reduction in its prison population raises questions about not only single factors or simple additive models as explanations for changes in penal policies but also uni-dimensional solutions to jurisdictions in need of fiscal restraint. The historical and cultural embeddedness of Alberta’s decarceration alerts us to its country-specific nature and the need to situate imprisonment in a broader set of concerns.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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