Learning About Trauma, Online: What Works and What Is?
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
Trauma-informed care guides a growing approach to practice across the field of human services and, as such, increasing efforts have been made to integrate a trauma-informed orientation into post-secondary human service programs. While most approaches to teaching trauma-education are designed for in-person instruction, online training programs are increasingly being employed. However, there are questions about the effectiveness of teaching for this particular topic online. The purpose of this study was to gain a better understanding of the impact of learning about trauma-informed practice online. Specifically, by asking “what works?” and “what is?,” the authors assessed the effectiveness of an online training program, called Being Trauma Aware, to teach about trauma-informed care and prepare post-secondary students for their field of practice. Findings reveal that Being Trauma Aware provides foundational knowledge on trauma-informed practice and develops competence and confidence in future practitioners. The training also increases students’ preparedness for the field, shifting their approach when working with children and youth. Future research can further explore whether online learning facilitates the transfer of knowledge to the field, connecting theory to practice.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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