A Survey of Trauma Education in Social Work Programs in the United States and Canada
Bibliographic record
Abstract
In the past 2 decades, social work education has increasingly advocated for inclusion of trauma-related content in educational programming. Yet, to date, little is known about the current state of trauma education and training in social work programs. The aim of this study is to describe trauma education and training in accredited, North American social work programs. The data are from an online survey of 192 social work educators from 165 universities with accredited social work programs in the United States (n=151) and Canada (n=14). Participants were asked whether trauma-specific education is offered, and if so, to provide the formats used to deliver the content, the type of curriculum used, and evaluation efforts. Most programs (67.9%) reported integrating trauma education into existing courses, with 61.4% of BSW programs and 65.4% of MSW programs offering some form of trauma education. Results suggest that social work educators are recognizing the importance of including trauma education in their programming. However, more evaluation is needed to identify specific trauma content being presented.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".