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Record W2898985774 · doi:10.3138/cjhs.2017-0031

Oversexualization among emerging adults: Preliminary associations with romantic attachment and intimacy

2018· article· en· W2898985774 on OpenAlexaffvenue
Audrey Brassard, Josianne Perron-Laplante, Élise Lachapelle, Catherine de Pierrepont, Katherine Péloquin

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2018
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsPsychologyHuman sexualityRomanceDevelopmental psychologyPerceptionObjectificationRecreationAttachment theorySocial psychologyAnxietyClinical psychologyGender studies

Abstract

fetched live from OpenAlex

This study examined romantic attachment and intimacy as correlates of oversexualized behaviours and attitudes among emerging adults. A sample of 587 participants (494 women, 93 men) aged between 18 and 29 completed a series of online questionnaires assessing oversexualization, romantic attachment, and intimacy. Hierarchical regression analyses were performed to explore the associations between these variables and examine the moderating role of sex. Results revealed that attachment-related anxiety was associated with overinvestment in sexual appearance, sexual objectification, and performance-based sexuality. This last association was stronger for men than for women. Attachment-related avoidance was associated with seduction and lower meaningfulness of sexuality. In addition, while sexualized language was related to a better perception of emotional, social, sexual, and recreational intimacy, meaningfulness of sexuality was positively related to all dimensions of intimacy. Conversely, sexual objectification was related to lower recreational intimacy, seductive attitude was related to lower emotional intimacy, and overinvestment in one’s sexualized appearance was related to lower sexual intimacy. For men only, overinvestment in sexualized appearance was also related to higher perceived social intimacy Theoretical and clinical implications of these results are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.966

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.346
Teacher spread0.313 · 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
Published2018
Admission routes2
Has abstractyes

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