Wrongly Imprisoned, Released as a Pauper: Canada’s Ineffective Approach to Innocence Compensation and Avenues for Reform
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
Canada’s innocence compensation framework is inadequate and unjust. To secure compensation for the myriad harms caused to them by miscarriages of justice, the wrongfully convicted in Canada can either rely on civil suits adjudicated on standards deferential to state actors and with remote prospects of recovery, or must subject themselves to entirely discretionary assessments of ex gratia payments by the executive. In this paper, I provide an overview of why this status quo is undesirable. I then examine other jurisdictions’ innovative approaches to innocence compensation, grounded in a distinction between ‘statutory schedule’ and ‘adjudicated rights’ frameworks. I conclude by setting out the advantages and disadvantages of each approach with a view to informing Canadian lawmakers should they be interested in 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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