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Record W2098311312 · doi:10.1080/10615800701303264

The nature of stress experienced by lesbians and gay men

2007· article· en· W2098311312 on OpenAlexaff
Yoshitaka Iwasaki, Janice Ristock

Bibliographic record

VenueAnxiety Stress & Coping · 2007
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFacilitatorHuman sexualityPsychologyStress (linguistics)StressorSocial psychologyGender studiesThrivingEthnic groupSexual identityMinority stressIdentity (music)Sexual minorityDevelopmental psychologySexual orientationSociologyClinical psychologyPsychotherapist

Abstract

fetched live from OpenAlex

This study examined both the meanings and sources/causes of stress from the perspectives of lesbians and gay men (n=30), using a series of focus groups. The findings suggest that stress is considered a part of life itself, and is perceived to contain both negative (e.g. detrimental effects on health and overall functioning, unfairness, out-of-control), and positive (e.g. a motivator, growth-facilitator) elements. The sources/causes of stress (i.e. stressors) identified include stress experienced from the "coming out" process, stress in family relations and intimate relationships, conflict over one's sexuality given society's homophobic and heterosexist attitudes toward lesbians and gay men, as well as stress from financial and work-related issues. More importantly, this study suggests that culture/ethnicity, gender, and aging, which are interconnected with one's sexual identity, play an important role in shaping the experiences of stress among lesbians and gay men.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.016
GPT teacher head0.367
Teacher spread0.351 · 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 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

Citations59
Published2007
Admission routes1
Has abstractyes

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