Relational aggression, antisocial behaviour, and psychopathy in Canadian female offenders.
Bibliographic record
Abstract
Interest in the expression of female aggression, antisocial behaviour, and psychopathy \nhas grown in recent years as a result of steadily increasing incarceration rates of women in \nCanada (38.6% over the past 10 years). Previous research suggests that the relational nature of \nfemale aggression, in offender and non-offender samples, differentiates women from their male \ncounterparts. Whereas males tend to be physically aggressive, relational aggression is the most \ncommon form of aggression employed by women, is associated with psychopathic traits, and has \nbeen found to predict criminal activity. As research pertaining to these factors in adult female \noffenders is in its infancy, it is imperative that the role of relational aggression in incarcerated \nwomen, both violent and non-violent, be further explored. To this end, a mixed method design \nwas implemented, including 56 female offenders recruited from three correctional facilities in Ontario, Canada. All participants completed a series of questionnaires measuring relational \naggression, antisocial behaviour, and psychopathy. Sixteen participants also participated in \nsemi-structured interviews querying their lived experiences of relational aggression in a custodial \nsetting. All participants, regardless of being identified as violent or non-violent offenders, \ndisclosed experiencing victimization by way of relational aggression while serving their sentence \nand the majority acknowledged acting as perpetrators. Emerging from the results was a fivestage \ndescriptive model detailing the process through which dominant female inmates employ \nrelationally aggressive tactics (e.g., gossiping/rumour spreading, guilt induction, malicious \nhumour, social exclusion, and social manipulation) to establish and maintain social hierarchies \non their respective units. The presence of several psychopathic traits also emerged that prove useful in social hierarchy development; more specifically, both violent and non-violent women \nexhibited a certain level of machiavellianism, callousness, social influence, rebelliousness, and impulsivity. Callousness, specifically, was found to significantly predict relational aggression \nperpetration in those who also have more substantial histories of victimization by way of the \nsame relationally aggressive tactics. Additional results pertaining to female antisocial behaviour \nand the observed psychopathic traits in the current sample are reported. Recommendations for \nfuture research, training, and assessment are proposed.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".