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Record W4283688693 · doi:10.1177/02654075221108759

Why do you have sex and does it make you feel better? Integrating attachment theory, sexual motives, and sexual well-being in long-term couples

2022· article· en· W4283688693 on OpenAlexafffund
Noémie Beaulieu, Audrey Brassard, Sophie Bergeron, Katherine Péloquin

Bibliographic record

VenueJournal of Social and Personal Relationships · 2022
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversité de SherbrookeUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyAttachment theoryDevelopmental psychologyAnxietySexual behaviorInsecure attachmentClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

Attachment theory postulates that three behavioral systems are central to optimal couple functioning: attachment, caregiving, and sex. However, few studies have examined the concurrent contribution of these systems to understand sexual well-being. This daily diary study examined the intermediary role of attachment- and caregiving-related sexual motives in the associations linking attachment insecurities and positive and negative emotions during sexual activity in 149 long-term mixed-gender/sex couples. Multilevel analyses revealed that individuals higher in attachment avoidance endorsed less caregiving sexual motives, which was associated with their own more negative emotional experience during sexual activity. Individuals higher in attachment anxiety endorsed more attachment sexual motives, which was associated with their own and their partner's more negative emotional experience during sex. However, individuals higher in attachment anxiety also concurrently endorsed more caregiving sexual motives, which predicted their own and their partner's more positive emotional experience during sex. Overall, the findings support the associations between the attachment, caregiving, and sexual behavioral systems and suggest that engaging in sex as a way to care for one's partner might foster sexual well-being in long-term couples.

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)0.000
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 score0.089
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.346
Teacher spread0.315 · 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

Citations13
Published2022
Admission routes2
Has abstractyes

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