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Record W2888486144 · doi:10.1177/0265407518794900

Understanding barriers to sexual communication

2018· article· en· W2888486144 on OpenAlexafffund
Uzma S. Rehman, Danielle Balan, Siobhan Sutherland, Julia McNeil

Bibliographic record

VenueJournal of Social and Personal Relationships · 2018
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologySocial psychologyEmpirical evidenceEmpirical researchDevelopmental psychology

Abstract

fetched live from OpenAlex

There is consistent empirical evidence to suggest that more open and positive sexual communication is a vital component of sexual relationships, but romantic partners tend to avoid sexual communication. Although clinical and theoretical writing has identified barriers to sexual communication, there is a relative paucity of empirical literature investigating specific barriers to sexual communication and whether these barriers are unique to sexual communication. We developed the Barriers to Communication Questionnaire, a measure that investigates the types of threat that are activated during couples’ sexual and nonsexual communication (Study 1) and the degree to which these threats are differentially activated across the two discussions (Study 2). In Study 1, we found that the same categories of threats were activated for both sexual and nonsexual conflict communication: threat to self, threat to partner, and threat to relationship. Study 2 revealed that threat to self is activated to a greater degree during sexual conflict communication compared to nonsexual conflict communication. The differential degree to which threat to self is activated during sexual and nonsexual communication provides a plausible explanation for why romantic partners tend to avoid sexual communication more so than nonsexual communication. The measure developed in the current study could be used clinically to identify the specific threats that are preventing an individual from communicating with the partner about needs and desires. In the research domain, the measure can be used to further investigate the causal association between emotional barriers and 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.217
GPT teacher head0.426
Teacher spread0.209 · 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 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

Citations45
Published2018
Admission routes2
Has abstractyes

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