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The Biopsychosocial Puzzle of Painful Sex

2022· review· en· W4214594016 on OpenAlexaff
Marta Meana, Yitzchak M. Binik

Bibliographic record

VenueAnnual Review of Clinical Psychology · 2022
Typereview
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiopsychosocial modelMultidisciplinary approachSex therapyPsychotherapistExtant taxonContext (archaeology)Clinical trialPsychologyClinical psychologyRandomized controlled trialMedicinePsychiatrySexual dysfunctionPathology

Abstract

fetched live from OpenAlex

Genital pain associated with sex is a prevalent and distressing problem with a complex research and clinical profile. This article reviews the historical context of the “sexual pain disorders” and the circuitous trajectory that has led from the first mention of painful sex in ancient documents to the latest diagnostic category of genito-pelvic pain penetration disorder in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as well as in other existing and proposed nomenclatures. Prominent etiologic research and emergent theoretical models are critically assessed, as is the latest treatment outcome research of note. Finally, the review points to a number of extant needs in the research and clinical effort, including an integrated biopsychosocial and multidisciplinary approach, randomized clinical trials, targeting of treatment barriers, and expansion of the entire enterprise to include populations that have not been considered.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.364
GPT teacher head0.607
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations19
Published2022
Admission routes1
Has abstractyes

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