Developing a cultural eye and mapping mental health and health competence in social work curricula: a community–engaged competency framework
Bibliographic record
Abstract
Social work education is grounded in a mandate for competent and culturally relevant practice. Yet there is a lack of literature describing the curricular development processes that center culture and community, particularly as it relates to Master of Social Work (MSW) specializations. This paper elucidates a community-engaged ‘top down, bottom up’ organizational change process of competency development, implementation, evaluation, and monitoring within a mental health and health specialization (MHH) in an MSW program. The systematic description of the eleven steps of the curriculum reform is presented in a figure and include key strategies for engaging with community, faculty and students. The MHH competence framework is illustrated in an infographic that maps onto curriculum and course components. Following implementation of the new MHH competency framework, graduates reported significant increases in key skills such as understanding and integrating sociocultural factors in MHH and 91% noted their increased ability to deliver interventions to promote the social determinants of health. Given the dynamic nature of competence within community-engaged social work education, strategies for ongoing dialogue and monitoring are provided.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.012 | 0.004 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".