Depathologizing Sexual Orientation and Transgender Identities in Psychiatric Classifications
Bibliographic record
Abstract
Introduction: This article presents the history and rationales of conceptualization and classification of homosexuality and transgender identity in both ICD and DSM. We review the efforts that have been made (and those that remain pending) to improve psychiatric classifications with new scientific knowledge, changing social attitudes and human rights standards. Method: We conducted a literature search of the classification of homosexuality and transgender identity as mental disorders. Result: We provide a historical description of these concepts in ICD and DSM, including fundamental points of disagreement as well as arguments that have been effective in achieving changes in both classifications. Conclusions: (ICD-11) in terms of the classification of sexual orientation and gender identity based on scientific evidence and the ICD's public health objectives. These changes might support the provision of accessible and high-quality healthcare services, and are responsive to the needs, experience and human rights of the populations involved.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".