Report as to Proposed Pilot Project on the Electronic Monitoring of Forensic Mental Health Patients
Bibliographic record
Abstract
This report was undertaken in response to a request from the Nova Scotia government for assistance in identifying and analyzing legal issues related to the potential establishment of a pilot project. The project would involve the use of electronic monitoring (EM) of forensic mental health patients (patients) detained at the East Coast Forensic Hospital (ECFH) who are exercising indirectly supervised and unescorted community access (community access). The purpose of our analysis is not to determine if an EM policy or its application violates any laws. Rather, the purpose is to consider whether there are factors that may support legal challenges and ensure government is aware of their relevance to the potential implementation of the proposed pilot project. The relevance of these issues will need to be revisited as details of an EM policy, if any, are developed. We provide the following guidance based on the context of which we are aware. Our analysis does not constitute nor should it be construed as legal advice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".