Does the Victim–Offender Relationship Matter? Exploring the Sentencing of Female Homicide Offenders
Bibliographic record
Abstract
Empirical research pertaining to sentencing of homicide offenders has been restricted almost exclusively to samples of male offenders in the United States. To fill this void in international research and to explore questions regarding the treatment of female homicide offenders further, we examined the extent to which victim-offender relationships and motives independently affect the length of sentences imposed by analyzing a nationally representative sample of female offenders adjudicated guilty of homicide in South Korea, over the period 1986-2013. In contrast to previous studies conducted in Canada, the Netherlands, and the United States, the current study found that the victim-offender relationship has no affect on sentence lengths. Rather, the most significant predictor for the sentence lengths of the female homicide offenders was the motive for killing. We discuss future directions for international comparative research on the roles of victim-offender relationships and motives in sentencing outcomes of female offenders.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".