Editorial Perspective: Mental health needs of children and young people of Black ethnicity. <sup>1</sup> Is it time to reconceptualise racism as a traumatic experience?
Bibliographic record
Abstract
We explore racial inequality in relation to Black children and young people (CYP) and Child and Adolescent Mental Health Services (CAMHS). We argue that the experience of racism should be universally considered an Adverse Childhood Experience (ACE). We argue that racism and the vicarious trauma arising from exposure to frequent media reports of racially motivated violence against persons of Black ethnicity can all predispose Black CYP to increased risk of mental health problems. We make recommendations to improve Black CYP's early access to CAMHS, and to reduce their overrepresentation in psychiatric in-patient settings in the UK. This would require making CAMHS more welcoming to Black CYP and consideration of the impact of racism and trauma in the diagnostic and treatment formulation for Black CYP. This should include: the impact of racism in staff training, improving the cultural competence of CAMHS staff, and supporting Black CYP to articulate their experiences of racism and related traumas whilst facilitating their development of coping strategies to manage these experiences.
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.023 | 0.021 |
| Insufficient payload (model declined to judge) | 0.024 | 0.015 |
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".