Sexual Desire and Hypoactive Sexual Desire Disorder in Women. Introduction and Overview. Standard Operating Procedure (SOP Part 1)
Bibliographic record
Abstract
INTRODUCTION: Hypoactive sexual desire disorder (HSDD) is defined in Diagnostic and Statistical Manual of Mental Disorders Fourth Edition as persistent or recurrent deficiency (or absence) of sexual fantasies/thoughts, and/or desire for or receptivity to sexual activity, which causes personal distress. As a largely subjective experience, sexual desire may or may not be accompanied by externally observable changes in sexual behavior. AIM: Describe the models of understanding HSDD and the contributing factors to provide the basis for a diagnostic interview and guidance for care for healthcare professionals as a standard operating procedure method. Review of the literature. RESULTS: There are several models which have been developed to describe sexual desire, although there is still no universally accepted definition or description of it. The models are generally divided into more general two-factor models (e.g., excitation-inhibition, appetitive-consummatory) or more specific multifactorial models (in which the different components of sexual activity and their interaction are delineated). The etiology of the disorder is generally considered as multifactorial. Biomedical factors like diseases, drugs, and hormones, and psychological factors like life events, sexual biography, affective state, etc., as well as interpersonal factors like partner satisfaction, communication, duration of the relationship, and sociocultural factors interact with each other and contribute to the individual experience of desire or lack or absence of desire. In analogy to the multifactorial pathogenesis the therapeutic approach is usually multidimensional and includes basic counseling, individual and couple psychotherapy, hormonal and psychopharmacological treatment. CONCLUSION: The standard operation procedure for HSDD in women must be based on a biopsychosocial, multidimensional, and integrative perspective.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".