Beyond medicalized approaches to violence and trauma: Empowering social work practice
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.
Bibliographic record
Abstract
Summary Social workers are positioned to respond to clients with a history of trauma by practicing bio-psycho-social, trauma, and violence-informed care but frequently encounter systemic barriers to providing holistic care. The research presented in this article was initiated by a College of Social Work in Canada in response to concerns raised by social work providers that their practice was constrained by ideological, structural, and system limitations within publicly funded mental health and addiction services. Ideologically trauma-based social work care is defined by five principles of safety, trust, collaboration, choice, and empowerment and recognizes that what has happened to individuals, including early adversity, can influence their bio-psycho-social functioning across the lifespan. Structurally, trauma-based care recognizes the corrosive impact of poverty, systemic discrimination, and exclusion. Findings Our research included a literature review, an online survey (n = 115 completed surveys), individual interviews (n = 50), and three focus groups (n = 15). The findings consistently highlighted a dissonance between dominant bio-medical approaches and reliance on the Diagnostic Statistical Manual of Disorders and social justice–based practice. Primary themes included a recognition by social workers of the pervasive presence of trauma and its effects, including mental health and addiction challenges; intergenerational impacts of trauma; the limitations of the medical model; and the need to reposition social work practice. Applications Repositioning the role of social work within mental health and addiction settings to center social justice responses to trauma presents transformative opportunities to better meet the needs of service users and increase workplace satisfaction.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it