Antisocial Personality Disorder and its Connection to Deviant Behavior: A Mini Review
Bibliographic record
Abstract
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing. Prigerson, H. G., Kakarala, S., Gang, J., & Maciejewski, P. K. (2021). History and status of prolonged grief disorder as a psychiatric diagnosis. Annual Review of Clinical Psychology, 17, 109 - Gadd, D., Henderson, J., Radcliffe, P., Stephens-Lewis, D., Johnson, A., & Gilchrist, G. (2019). The dynamics of domestic abuse and drug and alcohol dependency. The British Journal of Criminology, 59 (5), 1035 - Kaplan, H. I., & Sadock, B. J. V. (2014). Kaplan and Sadock's synopsis of psychiatry: Behavioral sciences/clinical psychiatry (11th ed.). Wolters Kluwer. Moran, P. (1999). The epidemiology of antisocial personality disorder. Social Psychiatry and Psychiatric Epidemiology, 34, 231 - Werner, K. B., Few, L. R., & Bucholz, K. K. (2015). Epidemiology, comorbidity, and behavioral genetics of antisocial personality disorder and psychopathy. Psychiatric Annals, 45 (4), 195 - McGilloway, A., Hall, R. E., Bhui, K. S. (2010). A systematic review of personality disorder, race and ethnicity: Prevalence, aetiology, and treatment. BMC Psychiatry, 10, 33 - Zuckerman, M. (2003). Are there racial and ethnic differences in psychopathic personality? A critique of Lynn's (2002) racial and ethnic differences in psychopathic personality. Personality and Individual Differences, 35(6), 1463 - Ferguson, C. (2010). Genetic contributions to antisocial personality and behavior: A meta-analytic review from an evolutionary perspective. The Journal of Social Psychology, 150 (2), 160 - Basoglu, C. O., Ates, A., Algul, A., Bez, Y., Cetin, M., Herken, H., Erdal, M. E., Munir, K. M. (2011). Synaptosomal-associated protein 25 gene polymorphisms and antisocial personality disorder: Association with temperament and psychopathy. The Canadian Journal of Psychiatry, 56 (6), 341 - Rosenstrom, T., Ystrom, E., Torvik, F. A., Czajkowski, N. O., Gillespie, N. A., Aggen, S. H., Krueger, R. F., Kendler, K. S., & Reichborn-Kjennerud, T. (2017). Genetic and environmental structure of DSM-IV criteria for antisocial personality disorder: A twin study. Behavior Genetics, 47 (3), 265 - Dugal, C., Brochu, E. M., Kusion, P. Y., Doucet, E., Binette, C., Peloquin, K., Godbout, N., Brassard, A. (2023). Cumulative childhood trauma, sex motives, and sexual satisfaction among emerging adults. Child Abuse & Neglect, 143, 106326. Kleissl-Muir, S., Raymond, A., & Rahman, M. A. (2018). Incidence and factors associated with substance abuse and patient-related violence in the emergency department: A literature review. Australasian Emergency Care, 21 (4), 159 - Sahlin, H., Kuja-Halkola, R., Bjureberg, J., Lichtenstein, P., Molero, Y., Rydell, M., Hedman, E., Runeson, B., Jokinen, J., & Ljótsson, B. (2017). Association between deliberate self-harm and violent criminality. JAMA Psychiatry, 74 (6), 615 - Ayodeji, E., Green, J., Roberts, C., Trainor, G., Rothwell, J., Woodham, A., & Wood, A. (2015). The influence of personality disorder on outcome in adolescent self-harm. British Journal of Psychiatry, 207 (4), 313 - Barra, S., Fittipaldi, D., Retz-Junginger, P., Merscher, J., Turner, D., & Retz, W. (2025). Borderline personality disorder and antisocial traits in justice-involved males: Associations with aggression, violent crime, and adverse childhood experiences. Psychiatric Research, 348, 116417. van den Bosch, L. M. C., Rijckmans, M. J. N., Decoene, S., & Chapman, A. L. (2018). Treatment of antisocial personality disorder: Development of a practice-focused framework. International Journal of Law and Psychiatry, 58, 72 -
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".