Bibliographic record
Abstract
Racial trauma refers to experiences related to threats, prejudices, harm, shame, humiliation, and guilt associated with various types of racial discrimination, either for direct victims or witnesses. In North American, European, and colonial zeitgeist societies, Black, Indigenous, and people of color (BIPOC) experience racial microaggressions and interpersonal, institutional, and systemic racism on a repetitive, constant, inevitable, and cumulative basis. Although complex trauma differs from racial trauma in its origin, the consistency of racist victimization beyond childhood, and the internalized racism associated with it, strong similarities exist. Similar to complex trauma, racial trauma surrounds the victims' life course and engenders consequences on their physical and mental health, behavior, cognition, relationships with others, self-concept, and social and economic life. There is no way to identify racial trauma other than through a life-course approach that captures the complex nature of individual, collective, historical, and intergenerational experiences of racism experienced by BIPOC communities in Western society. This article presents evidence for complex racial trauma (CoRT), a theoretical framework of CoRT, and guidelines for its assessment and treatment. Avenues for future research, intervention, and training are also 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 | 0.014 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".