A Desire to be âNormalâ? A Discursive and Intersectional Analysis of âPenetration Disorderâ
Bibliographic record
Abstract
Psychiatry’s problematic framing of femininity, women’s bodies, and sexuality has attracted much condemnation (Caplan & Cosgrove, 2004; Frith, 2013; Ussher, 2011). The intersection of sanism and sexism is particularly overt in the psy- complex’s (Rose, 1979) response to violence. While psychiatry acknowledges that many of those diagnosed with ‘female sexual dysfunction’ have experienced sexual abuse, addressing the problems of violence against women is starkly absent within psychiatric discourse. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders combined ‘vaginismus’ and ‘dyspareunia’ to produce a new diagnostic classification: ‘genito-pelvic pain/penetration disorder.’ The diagnostic criteria included difficulties, pain, or fear regarding penetrative heterosexual sex (American Psychiatric Association, 2013). Using discourse analysis (Burman, 2004; Parker, 2013) and critical intersectional analysis (Cole, 2009; Crenshaw, 1991; Hill- Collins, 1998, 2003), this paper analyzes psychiatric discourse to illuminate the violence inherent in procedures and treatments that perpetuate sanism and (hetero)sexism within psychiatry. We argue that psychiatry’s positioning of penetrative heterosexual intercourse as ‘normal,’ necessary, and ‘healthy’ pathologizes experiences of sexual violence as well as other forms of sexual identity (e.g., asexuality and homosexuality). Psychiatry needs to promote and accept sexual diversity, including the choice not to have penetrative sex at all.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.017 | 0.064 |
| Scholarly communication | 0.021 | 0.023 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".