One “Two” Many: An Examination of Solo Perpetrator Versus Team Perpetrator Serial Homicides
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
The current study examines the offender, victim, and crime characteristics between solo perpetrators and team perpetrators of serial homicide. Cases on 1,137 solo perpetrators and 254 team perpetrators were collected from the Consolidated Serial Homicide Offender Database. Results showed team perpetrators were more likely to be older than those who committed serial homicides alone. Offenders who never confessed their crimes were less likely to participate in teams. In terms of victim and crime characteristics, team perpetrators were more likely to target employees or customers, have a lower victim count, and were more likely to exhibit sadistic behaviors compared to solo perpetrators. Theoretical and practical implications from this study are discussed.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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