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Record W2166036409 · doi:10.1080/1550428x.2013.838150

Coming Out Again: Exploring GLBQ Individuals’ Communication with Their Parents After the First Coming Out

2014· article· en· W2166036409 on OpenAlexaboutno aff
Amanda Denes, Tamara D. Afifi

Bibliographic record

VenueJournal of GLBT Family Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsComing outSexual orientationLesbianPsychologyDenialQueerDevelopmental psychologyQuarter (Canadian coin)Sexual identitySocial psychologyHuman sexualityGender studiesSociology

Abstract

fetched live from OpenAlex

AbstractThe present study investigates individuals' experiences coming out to their parents as gay, lesbian, bisexual, and queer (GLBQ) and how these first coming-out experiences may relate to future parent-child communication regarding individuals' sexual orientation. Specifically, this study explores whether some individuals feel the need to come out to their parents a second time, and if so, the reasons for coming out again and the strategies used to do so. One hundred six GLBQ individuals (ages 18 to 55) completed surveys about their experiences coming out to their parents the first time and a potential second time. Approximately one-quarter of participants reported coming out to their parents a second time. An inductive analysis revealed three reasons for doing so: to reinforce their sexual orientation, to clarify aspects of their identity, and to share more information about their GLBQ lifestyle. In addition, the more individuals perceived their parents to react to their first coming out with denial and the lower their reported relationship satisfaction with their parents after their first coming out, the more likely they were to come out again. Finally, strategies used to come out both the first and second times are explored.KEYWORDS: coming outparent-child communicationinterpersonal communicationparent-child relationships

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)0.002
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 score0.061
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.183
GPT teacher head0.376
Teacher spread0.193 · 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

Citations61
Published2014
Admission routes1
Has abstractyes

Explore more

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