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Record W1842669445 · doi:10.1080/0092623x.2015.1061075

Sexual Functioning in Young Women and Men: Role of Attachment Orientation

2015· article· en· W1842669445 on OpenAlexaff
Cara R. Dunkley, Silvain S. Dang, Sabrina Chang, Boris B. Gorzalka

Bibliographic record

VenueJournal of Sex & Marital Therapy · 2015
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyOrgasmAttachment theoryDevelopmental psychologySexual orientationHuman sexualityArousalSexual functionClinical psychologySexual behaviorSexual dysfunctionSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Prior research has documented various ways in which adult attachment styles are characteristic of differential behavioral and cognitive patterns within romantic relationships and sexuality. However, few studies have examined the direct influence of anxious or avoidant attachment orientation on sexual function. The aim of the present study was to assess the impact of insecure attachment on sexual function. Undergraduate students completed questionnaires measuring attachment style and sexual functioning. Among women, attachment avoidance tended to be associated with impairments in all aspects of sexual function, whereas anxious attachment tended to be associated with declines in arousal, satisfaction, and ability to achieve orgasm. A different trend was seen in men: Anxious attachment tended to be associated with multiple facets of sexual dysfunction, while avoidant attachment did not correlate with any sexual function deficits and was associated with superior physiological competence. These results suggest that both anxious and avoidant attachment styles are important yet differential predictors of sexual function in men and women.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.033
GPT teacher head0.310
Teacher spread0.277 · 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 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

Citations41
Published2015
Admission routes1
Has abstractyes

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