Supervision on Country: Enhancing Culturally Safe Social Work Supervision Through First Nations Knowledges
Bibliographic record
Abstract
There has been limited scholarship on culturally responsive supervision in social work. This article provides a comprehensive review of literature and builds artefacts and conceptual maps encompassing key cultural elements in cultural-clinical supervision to inform social work practice. The visual artefacts present five key areas of Aboriginal ways of knowing, being, and doing, including identity, community, relationality, deep listening, and yarning. This project was Aboriginal-led and developed collaboratively between Aboriginal and non-Aboriginal social workers and researchers. This article can assist both First Nations and non-First Nations supervisors to better understand the importance of culturally responsive supervision in all social work settings.IMPLICATIONSIt is important for social workers to incorporate Aboriginal ways of knowing, being, and doing in their supervision practices, to create culturally safe supervision.Bringing the cultural-clinical interface together can enhance cultural supervision in all services.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.009 |
| Science and technology studies | 0.020 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".