Onset, Offending Trajectories, and Crime Specialization in Violence
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
Using data from the Montreal Longitudinal Study, the current study investigates whether age of onset is informative about the dynamic aspects of violent behaviors in males over time, in terms of violent offending frequency, crime trajectory, and, most importantly, crime specialization in violence. Self-reported data at three time points were used. Group-based modeling showed much heterogeneity in the shape of violent trajectories, which were associated with various crime specialization patterns over time. Most importantly, the number and shape of these trajectories were not accounted for by overall age of onset. Study findings show that while age of onset, especially the age of onset of violence, might be informative of the likelihood of committing a violent crime in middle adolescence, it is not informative about the dynamic process of violent offending. Of importance, violent adult offenders specializing in such crimes in adulthood were not necessarily early starters.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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