Describing the not criminally responsible population in Alberta’s history: Sociodemographic, mental health, and criminological profiles
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
This is the first paper to look at the entire population of those found Not Criminally Responsible on Account of Mental Disorder (NCR) in Alberta, Canada. The Alberta NCR Project examined longitudinal data from the NCR population to describe sociodemographic, mental health, and criminological profiles. Data were collected for the period of 1941 (i.e., the first known case in Alberta) to October 15, 2015, using archived patient chart information. The majority of Alberta NCRs have not completed high school, are diagnosed with some form of psychosis, and were found by the court to be NCR due to a violent crime. The Alberta NCR population has grown by an average of seven NCR accused per year and, of those who have reached absolute discharge, each person spent an average of 5.7 years under the Alberta Review Board (the provincial body that oversees those found NCR). Those who committed a homicide had significantly longer hospitalizations than those under every other crime category, except attempted homicide.
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 | 0.002 | 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 | 0.001 |
| 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