Supervisory Alliance and Experiences of Vicarious Trauma Among Clinicians Providing Sex Offense-Specific Treatment
Bibliographic record
Abstract
This study investigated the correlation between vicarious trauma and supervisory working alliance among clinicians who provide sex offense-specific treatment utilizing a quantative non-parametric method. The study included 22 clinicians who provide sex offense-specific treatment and were receiving clinical supervision at the time of the study. Participants resided within Australia (9.1%), Canada (13.6%) and the United States (77.3%). Participants were recruited from professional global organizations, professional organizations within the United States and agencies within Minnesota. Participants completed a Qualtrics survey which included a demographic survey, Secondary Traumatic Stress Scale (STSS), Supervisory Working Alliance (SWA)-Supervisee Form and four optional questions about historical psychiatric diagnoses and treatments. The results of the study found a nonsignificant negative correlation between scores on the SWA-Supervisee Form and scores on the STSS (rho=-.006, p=.979). Results found a significant positive correlation betwn STSS scores and hours per week providing sex offense-specific treatment (rho=.627, p=-.002). A weak negative correlation was found between SWA-Supervisee Form scores and hours per week providing sex offense-specific treatment (rho=-.054, p=.815). Results of the current study suggest there is a relationship between hours per week providing sex offense-specific treatment and experiences of vicarious trauma. Supervisory working alliance does not appear to be associated with vicarious trauma. Future research examining additional constructs associated with vicarious trauma is warranted. Additionally, due to the small sample size of the current study, additional research examining vicarious trauma and supervisory working alliance is warranted.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| 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".