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Record W4310422007 · doi:10.1080/00224499.2022.2129558

The Sexual Communication Scale (SeCS)

2022· article· en· W4310422007 on OpenAlexaff
Sara Moazami, Marilyn Ashley, Konrad Czechowski, Erin Leigh Courtice, Krystelle Shaughnessy

Bibliographic record

VenueThe Journal of Sex Research · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConfirmatory factor analysisPsychologyStructural equation modelingExploratory factor analysisScale (ratio)Sexual behaviorDevelopmental psychologyPsychometricsComputer science

Abstract

fetched live from OpenAlex

Many measures of comfort and frequency of sexual communication between partners are limited in gender/sex and sexual orientation inclusivity, how constructs are measured, and for whom. We conducted two studies to investigate a revised and extended version of the Female Partner’s Communication During Sexual Activity Scale: the Sexual Communication Scale (SeCS). We revised the gender/sex language to improve inclusion and added items to assess frequency and comfort with sexual communication. In Study 1, an exploratory factor analysis (n = 578) supported a three-factor structure (Frequency of bidirectional communication, α = .96; Ease of own communication, α = .90; Ease of partner’s communication, α = .83). In Study 2, a confirmatory factor analysis (n = 1479) further supported the three-factor structure. Specifically, the three-factor model provided a reasonably good fit (χ2 (44) = 511.35, p < .001, CFI = .97, GFI = .95, AGFI = .91, SRMR = .00, RMSEA = .08). In both studies, we found small or no differences in men and women’s comfort and frequency of sexual communication. The results provide initial support that the SeCS is an internally consistent, multidimensional gender/sex inclusive tool for future research on sexual communication.

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)0.037
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.005
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 head0.369
GPT teacher head0.576
Teacher spread0.207 · 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.

Study designNot applicable
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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Sex ResearchSame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207