The Risk, Need, and Responsivity Relevance of Working Alliance in a Sexual Offense Treatment Program: Its Intersection With Psychopathy, Diversity, and Treatment Change
Bibliographic record
Abstract
The current study examined the self-reported working alliance of men attending a high intensity sexual offense treatment program and its associations with psychopathy, sexual violence risk, treatment change, and recidivism, in a Canadian sample of 317 incarcerated men followed up an average of approximately 10 years post release. Working Alliance Inventory (WAI; Horvath & Greenberg, 1989) self-reported total, Task, Bond, and Goal scores were positively correlated with treatment related changes in risk, and inversely associated with Psychopathy Checklist-Revised (PCL-R; Hare, 1991; Wang & Hare, 2003) scores. The Affective facet of the PCL-R, representing the callous-unemotional features of the syndrome, uniquely predicted lower Bond and Goal scores controlling for the other facets. Cox regression survival analyses demonstrated that sexual violence risk predicted increased sexual recidivism while change predicted decreased sexual recidivism controlling for PCL-R total score; however, WAI scores (particularly the Goal component) were also unexpectedly associated with increased sexual recidivism. For violent recidivism, psychopathy, risk, and change incremented the prediction of general violence, while the WAI was not significantly associated with this outcome. A set of parallel analyses, stratified by Indigenous ethnocultural heritage, demonstrated some continuity, but also potential areas of difference, in substantive findings. Risk, need, responsivity implications of the working alliance for the treatment of high psychopathy correctional clientele, and how this may intersect with Indigenous heritage, are discussed.
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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 | 0.001 |
| 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".