Chapter 15 – Rehabilitation, Intervention, and Parole for the Toronto 18: Dead Ends and Silver Linings
Bibliographic record
Abstract
This chapter assesses the spectrum of intervention measures (on a state and non-state level) available to offenders who plan to, or have, committed terrorism-related offences. The author does so with a view to determining whether intervention measures or rehabilitative efforts are sufficiently mitigating for the purpose of sentencing or parole. The author begins by surveying various intervention programs in Canada for persons at the “pre-charge” stage and highlights their practical shortcomings. Relying on this information, she emphasizes that evidence of rehabilitation efforts or work with intervention groups can prove insufficient for the purpose of mitigating a sentence of incarceration or granting parole. The author argues that this phenomenon results in a dead-end at every milestone of the criminal justice system for offenders convicted for terrorism-related offences. Even in cases where offenders have shown an ability to rehabilitate, the weight of their rehabilitative efforts is often questioned by courts and the National Parole Board by virtue of the crime they committed.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".