Changing Psychiatric Perception of African-Americans With Affective Disorders
Bibliographic record
Abstract
This article explored the origins and implications of the underdiagnosis of affective disorders in African-Americans. MEDLINE and old collections were searched using relevant key words. Reference lists from the articles that were gathered from this procedure were reviewed. The historical record indicated that the psychiatric perception of African-Americans with affective disorders changed significantly during the last 200 years. In the antebellum period, the mental disorders of slaves mostly went unnoticed. By the early 20th century, African-Americans were reported to have high rates of manic-depressive disorder compared with whites. By the mid-century, rates of manic-depressive disorder in African-Americans plummeted, whereas depression remained virtually nonexistent. In recent decades, diagnosed depression and bipolar disorder, whether in clinical or research settings, were inexplicably low in African-Americans compared with whites. Given these findings, American psychiatry needs to appraise the deep-seated effects of historical stereotypes on the diagnosis and treatment of African-Americans.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".