Considerations for Social Work Clinicians Interested in Policing: A Qualitative Report
Bibliographic record
Abstract
Social work is a profession that engages in interprofessional work with a growing interest in the field of policing. This qualitative report is a secondary analysis offering insights and practical considerations for social work clinicians interested in working with law enforcement as an integrated or embedded clinician. Guided by a social constructivist and self-efficacy theoretical lens, the study analyzed 35 in-depth interviews with participants across 13 states. The analysis identified three key themes: experience matters, multifaceted challenges and complex work environments, and personal preparation. These findings provide valuable information for clinicians considering this field, highlighting the importance of prior experience, the challenging nature of the work, and the need for thorough preparation that may not be offered or standard within the work environment. The study underscores the significance of these factors in ensuring social workers' preparation and effective collaboration with law enforcement, ultimately contributing to improved outcomes in community policing efforts and responsive approaches to addressing community crisis needs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.043 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".