Bibliographic record
Abstract
Editor—Moynihan wrote about female sexual dysfunction as a disease in the making.1 As co-chairs for an (unpaid) international committee, commissioned and supported by the American Foundation of Urological Disease, to improve definitions of women's sexual dysfunction, we regret the sensational biased view of industry funded research of biological components of women's sexual function. The common error of equating self reported sexual problems with medically diagnosable disorder is well recognised. However, to focus only on this and neglect the need for research into aetiology, pathogenesis, and treatment of women's sexual dysfunction from disease, medical, and surgical interventions, is unfortunate. To date, neither the major neurotransmitter involved in vaginal congestion nor the autonomic innervation of the vulval structures has been established. Industry funding facilitates research of interrupted sexual responses from chemotherapy, pelvic surgery, neurological disease, premature menopause, and drug treatment, as well as healthy sexual physiology. We question the concept of a “new definition of human illness.” Women's sexual dysfunction has been diagnosed throughout the centuries. The committee meeting in 1998 tried to modulate definitions in the American Psychiatric Association's Diagnostic and Statistical Manual of Disease, to be more reflective of women's sexuality and did not create “new disorders.” However, the formulation of accurate diagnosis is a continuing process—what is “normal” for women of different ethnic, religious, and cultural backgrounds, and of different ages and life stages is still unclear. Women's sexual function is highly contextual; many aetiological factors—physical, psychological, and interpersonal—must be not only evaluated but included in the diagnosis. Thus the definitions are becoming less rather than more medical. Without accurate definitions of dysfunction, any potential contributory role for pharmacotherapy in holistic management of dysfunction cannot be explored. Without support from the pharmaceutical industry, little new research into sexual physiology is likely or the means by which psychological factors alter the biological processes involved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.010 | 0.017 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".