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Record W1968081819 · doi:10.1080/15299716.2014.902784

Attitudes Toward Casual Sex, Dating, and Committed Relationships With Bisexual Partners

2014· article· en· W1968081819 on OpenAlexaff
Heather L. Armstrong, Elke D. Reissing

Bibliographic record

VenueJournal of Bisexuality · 2014
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCasualPsychologyJealousyWorrySexual orientationSocial psychologyDevelopmental psychologyClinical psychologyAnxiety

Abstract

fetched live from OpenAlex

Individual attitudes toward having casual sex, dating, and being in a committed relationship with a bisexual partner of the other gender were examined. Three hundred and seventy-three women and 347 men completed the online study. Female participants expressed moderately high levels of insecurity (e.g., worry, pressure, jealousy) toward relationships with bisexual male partners; insecurity tended to increase with the commitment level of the considered relationship. Male participants reported low to moderate levels of insecurity toward relationships with bisexual female partners; insecurity tended to be lowest for casual sex. Numerous predictors of attitudes toward bisexual partners were noted, including tolerance of and beliefs about the stability of a bisexual sexual orientation. The results of this study suggest that underlying misconceptions about bisexuality may be affecting individuals' interest in having relationships with bisexual partners and may represent a challenge to intimacy and stability within the couple.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.154
GPT teacher head0.415
Teacher spread0.261 · 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

Citations65
Published2014
Admission routes1
Has abstractyes

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