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Record W3153805476 · doi:10.24908/iqurcp.9834

Sexual Concordance and Orgasm Consistency in Women

2018· article· en· W3153805476 on OpenAlexvenueno aff
Michelle McCowan

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsConcordanceOrgasmPsychologyConsistency (knowledge bases)ArousalSexual arousalClinical psychologySexual dysfunctionDevelopmental psychologySexual behaviorMedicineSocial psychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

The agreement between psychological and physical sexual arousal is variable among women: some show very high levels of sexual concordance while others demonstrate little or no agreement the emotional and physiological components of arousal (Chivers, Seto, Lalumière, Laan, & , 2010). This mind-body connection has been implicated in female sexual dysfunction, as women sexual dysfunctions tend to show especially low levels of sexual concordance (e.g., Laan, van Driel, & Lunsen, 2008). To date, there has been very little research on how concordance influences individual in sexual outcomes in women without sexual dysfunction. Initial evidence suggested a relationship between sexual concordance and orgasm consistency in healthy women (e.g., Adams, Haynes & Brayner, 1985); however, the few studies examining this relationship present mixed findings. The current study attempts to clarify the relationship between sexual concordance and orgasm consistency and examines sexual assertiveness as a mediator in the predicted concordance-orgasm consistency relationship.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.128
GPT teacher head0.393
Teacher spread0.265 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2018
Admission routes1
Has abstractyes

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