Treating Racial Trauma: The Methodology of a Randomized Controlled Trial of the Healing Racial Trauma Protocol
Bibliographic record
Abstract
Cumulative experiences of racism lead to stress and trauma. Racial trauma is associated with compromised functioning across psychological, social, and physical health domains. This is further complicated by any comorbidity with other mental health conditions. Many clinicians are not trained in identifying, diagnosing, and treating racial trauma. Given the pervasive nature of racism, limited clinician knowledge and experiences, as well as the impact of this condition, there is an urgent need for novel, culturally safe, and effective treatment. The newly developed Healing Racial Trauma Protocol (HRTP) shows significant promise. We explore the methodological considerations for a randomized controlled trial comparing the efficacy of the HRTP for racialized individuals suffering from racial trauma and to a control condition of treatment as usual, in reducing the severity of racial trauma and depression symptoms, as well as improved functioning. Ethical, pragmatic, and methodological considerations in trial design, research population, and treatment protocol are explored.
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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 | 0.027 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".