MSW Student Perspectives on Facilitators and Barriers in Learning About Social Justice in Social Work Practice
Bibliographic record
Abstract
Social work is a practice-based profession with social justice as a core value and ethical principle. Social work programs incorporate social justice into both the explicit and implicit curricula. However, there has been a longstanding divide in how to address social justice at systemic levels while fostering socially just and competent practice. The aim of this qualitative study was to examine how MSW students describe their learning about social justice and social work practice. To explore this area of inquiry, we conducted three focus groups (N = 16) with current MSW students or recent MSW graduates from Canadian social work programs. Participants described the following five themes that either facilitated or created barriers in their learning about social justice and social work practice: 1) reflection on practice, 2) negotiating discomfort, uncertainty, and safety, 3) learning from lived experiences, 4) learning how to embody social justice in practice, and 5) receiving support, supervision, and coaching. We discuss the implications for social work education and practice.
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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 | 0.030 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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; both teacher heads agree on what is shown here.
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".