A Typical Gender Identity Conference? Some Disturbing Reports from the Therapeutic Front Lines
Bibliographic record
Abstract
This article resulted from my recent attendance at a conference on gender identity entitled `Atypical Gender Identity Development: Therapeutic Models, Philosophical and Ethical Issues' (2000). Although it featured presentations from pre-eminent clinical psychiatrists, psychologists and physicians in Britain, Canada and the United States, there was no reference to the feminist psychoanalytic and social psychology debates that have circulated in feminist psychology for years. In accounting for the absence of feminist scholarship, I consider three issues. First, rather than highlight the social construction of gender through the social construction of sex, the conference revealed a persistent belief in `sex' as the original sign through which gender is read. A second issue concerns the maturity hierarchy that clinicians seem to construct such that stable gender identification and `opposite' gender desire appear at the apex. Finally, I am concerned with what seems to be a continued association of homosexuality with pathology.
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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 | 0.018 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.012 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.009 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".