Translating Critical Social Work into Clinical Practice: A Pilot Simulation-Based Study from Canada
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
Focused primarily on addressing racial and social injustices through theoretical and critical analysis, critical social work is a well-established paradigm in Canadian social work education. This pilot study explored how clinical social workers might translate critical social work principles into clinical practice. We used simulation-based research methods to observe social workers’ engagement with a Simulated Client (SC; i.e. trained actor). Social workers with at least a Master’s degree (n = 8) were recruited from across Canada to conduct a session with the SC via Zoom followed by a post-session interview to reflect on the session. Data were analyzed inductively, using coding methods from Grounded Theory. The following categories emerged as concrete practice skills informed by critical social work: (1) create and hold a space of safety, (2) take an unassuming position while holding theoretical assumptions, (3) peel off the layers of the presenting problems, and (4) take a non-neutral therapeutic stance. Implications for clinical social work practice and further research are discussed.
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 | 0.005 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.011 |
| Science and technology studies | 0.012 | 0.001 |
| 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