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Record W2899939764 · doi:10.1177/1363460718774528

Hookup initiation and emotional outcomes differ across LGB young men and women

2018· article· en· W2899939764 on OpenAlexafffundabout
Ryan J. Watson, Yousef M Shahin, Miriam R. Arbeit

Bibliographic record

VenueSexualities · 2018
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
FundersCurry School of Education and Human Development, University of VirginiaUniversity of British ColumbiaUniversity of Virginia
KeywordsCasualLesbianMinority stressPsychologySexual minorityScholarshipTransgenderDevelopmental psychologyQueerCoping (psychology)Grounded theorySexual orientationGender studiesSocial psychologyClinical psychologyQualitative researchSociologyPolitical science

Abstract

fetched live from OpenAlex

Research on hookups has grown to keep pace with new opportunities for initiations to engage in casual sex. However, most of the scholarship has been heteronormative, which is problematic because sexual minority (e.g., gay, lesbian, bisexual, queer) individuals report unique experiences in relation to their sexual experiences and health. Through minority stress, positive youth development, and grounded theory of resiliency frameworks, we studied the initiation patterns and outcomes related to hooking up among sexual minorities. Interviews were conducted with 17 participants aged 18 to 25 ( Mage = 22) in British Columbia, Canada. We found that gay males most often used social media applications to initiate hookups; bisexual young women and lesbians were most likely to use social gatherings. Despite most scholarship focusing on risks associated with hooking up, we found that outcomes of LGB young adults were more positive than negative. By way of the minority stress and resiliency frameworks, we position hookups as potential coping mechanisms in response to sexual minority stress experiences. Stakeholders should be aware of the challenges associated with hooking up for sexual minorities.

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)0.003
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 score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0030.000

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 head0.049
GPT teacher head0.403
Teacher spread0.354 · 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

Citations16
Published2018
Admission routes3
Has abstractyes

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