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Record W2575327868 · doi:10.1177/0146167216678862

Is Comparison the Thief of Joy? Sexual Narcissism and Social Comparisons in the Domain of Sexuality

2017· article· en· W2575327868 on OpenAlexaff
Lisa C. Day, Amy Muise, Emily A. Impett

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2017
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsNarcissismPsychologyHuman sexualitySocial psychologyDomain (mathematical analysis)Developmental psychologyGender studiesSociology

Abstract

fetched live from OpenAlex

Are people who are high in sexual narcissism more sensitive to information comparing their sex lives with the sex lives of others? Does this sensitivity explain narcissists' lower sexual and relationship satisfaction? We conducted three studies to address this question. Participants completed the Sexual Narcissism Scale (Widman & McNulty, 2010), and then either recalled (Study 1), imagined (Study 2), or actually made (Study 3) a sexual comparison. We found that people high in sexual narcissism (compared with those lower in sexual narcissism) were more bothered when comparing themselves with someone with a higher sexual frequency and felt better about a comparison with someone with a lower sexual frequency. In turn, narcissists' greater sensitivity to upward social comparisons predicted lower sexual and relationship satisfaction. These results suggest that those high in sexual narcissism may use downward sexual comparisons to maintain their grandiose self-views and be particularly sensitive to upward sexual comparisons.

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)0.002
metaresearch head score (Gemma)0.009
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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
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 head0.137
GPT teacher head0.434
Teacher spread0.297 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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