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Record W4413443508 · doi:10.1093/sw/swaf032

Considerations for Social Work Clinicians Interested in Policing: A Qualitative Report

2025· article· en· W4413443508 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Work · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsSocial workWork (physics)Qualitative researchSociologyCriminologyPsychologyPublic relationsPolitical scienceSocial scienceEngineeringLaw

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.217
GPT teacher head0.550
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it