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Record W4296105761 · doi:10.3390/sexes3030035

University Students’ Sexual Identity Development as a Determinant of Sexual Self-Hood

2022· article· en· W4296105761 on OpenAlexaffabout
B. J. Rye, Steven Hertz

Bibliographic record

VenueSexes · 2022
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsWilfrid Laurier UniversitySt. Jerome's University
Fundersnot available
KeywordsHuman sexualitySexual identityPsychologyOperationalizationIdentity (music)Developmental psychologySexual attractionSocial psychologySexual orientationSexual behaviorGender studiesSociology

Abstract

fetched live from OpenAlex

Sexual identity development was explored as a predictor of sexual self-concept and erotophobia–erotophilia using a student sample. Sexual identity development was operationalized using Worthington et al.’s Measure of Sexual Identity Development, which is theoretically based on Marcia’s identity model. Based on Worthington et al.’s scale, there are four sexual identity development domains: commitment to one’s sexual identity, exploration of one’s sexual identity, sexual orientation uncertainty, and synthesis/integration of one’s sexual identity. Several of Snell’s Sexual Self-Concept scales (e.g., sexual depression, sexual self-efficacy) and Tromovitch’s Comfort with Sexuality scales (e.g., comfort talking about sexuality, comfort with the sexual activities of others) were used to define sexual self-concept and erotophobia–erotophilia, respectively. A sample of students enrolled in an introductory psychology course at a Canadian university completed these instruments. Results suggest that sexual identity development was strongly predictive of sexual self-concept scales, multivariately. Sexual identity development was also predictive of comfort with sexuality. Sexual self-concept and erotophobia–erotophilia were also related to each other. These relationships supported the idea that a positive sexual identity development process contributes to a favorable view of the sexual self. However, the study was cross-sectional and correlational, so conclusions about directionality are preliminary and causality cannot be inferred.

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 score0.048
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 science0.0010.001
Research integrity0.0000.000
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 head0.026
GPT teacher head0.346
Teacher spread0.320 · 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

Citations5
Published2022
Admission routes2
Has abstractyes

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