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Record W1999673483 · doi:10.3138/cjhs.2378

Somewhere under the rainbow: Exploring the identities and experiences of trans persons

2014· article· en· W1999673483 on OpenAlexaffvenue
Emma Dargie, Karen L. Blair, Caroline F. Pukall, Shannon Coyle

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2014
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsQueen's University
Fundersnot available
KeywordsTransgenderHuman sexualityMental healthPsychologyTranssexualIdentity (music)Gender identitySexual orientationSexual identitySocial psychologyHuman physical appearanceDevelopmental psychologyClinical psychologyGender studiesSociologyPsychiatry

Abstract

fetched live from OpenAlex

The literature on transgender/transsexual-spectrum persons is limited. Most studies are based on the assumption that trans persons are best understood within rigid and binary definitions of gender and sexuality and tend to focus on diagnostics, medical management and risk factors. Researchers and clinicians may also assume that people who challenge cultural norms of gender and sexuality can be grouped together. Such assumptions about the specific experiences of trans persons can be harmfully incorrect. The goals of the present study were to explore the gender and sexual identities of trans persons, to investigate group differences, and to examine factors that predict better psychological and physical well-being. Participants took part in an online study and provided information about their gender and sexual identity, social support, relationship quality, and mental/physical health. Results depicted diverse gender identities and sexual orientations among trans persons and emphasized that while many challenges faced by sexual and gender minorities are similar, trans persons report unique mental and physical health outcomes. Also, greater social support and relationship quality predicted mental, but not physical, health among trans persons. These results highlight the importance of acknowledging the complexity of trans identities and the key role of social and personal support.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.134
GPT teacher head0.371
Teacher spread0.238 · 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 designQualitative
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

Citations78
Published2014
Admission routes2
Has abstractyes

Explore more

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