A Paper Examining Reactive Attachment Disorder and the Canadian Criminal Justice System
Bibliographic record
Abstract
Reactive attachment disorder (“RAD”) is a recognized behavioural disorder arising from the failure to develop an “attachment” to a primary caregiver in early childhood. RAD can most often be traced to neglect or abuse or both in a child’s first 5 years of life. Some relevant symptoms are incessant lying, a lack of conscience and often a complete inability to have or to show empathy or remorse. The relevance to the operation of our criminal justice system is that the impressions left as a result of these traits are critical to the eventual outcome. From the moment the accused is interviewed and then throughout the process, their demeanor is being scrutinized. Their level of emotion and the “correctness” of that emotion and especially their ability to express empathy and remorse are judged during each phase. The problem is that these behaviours can lead to wrong impressions and, therefore, mistakes and injustice.
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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 | 0.000 | 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".