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Record W2801434604 · doi:10.1177/0011000018768538

Acculturation Experiences Among Lesbian, Gay, Bisexual, and Transgender Immigrants in Canada

2018· article· en· W2801434604 on OpenAlexaffabout
Nate Fuks, Nathan Grant Smith, Sandra Peláez, Jack De Stefano, Tyler L. Brown

Bibliographic record

VenueThe Counseling Psychologist · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsAcculturationHeterosexismSexual orientationImmigrationLesbianTransgenderSexual identityPsychologyGender studiesCoping (psychology)Sexual minorityCultural assimilationHomosexualitySocial psychologyIdentity (music)SociologyHuman sexualityClinical psychologyPolitical science

Abstract

fetched live from OpenAlex

In the current study, we used a grounded theory methodology to understand the acculturation process of LGBT immigrants in Canada. Results revealed two parallel themes: Cultural Identity Development and Sexual and Gender Identity Development. Heterosexism and cissexism in the culture of origin was a central phenomenon in the development of the cultural, sexual, and gender aspects of LGBT immigrant identity. Moreover, LGBT immigrants’ culture of origin and Canadian culture influenced their sexual and gender identity development before and after immigration. Results suggest that many LGBT immigrants assume a Western orientation as a coping response to heterosexism and cissexism in their culture of origin, even before immigration occurs. The current study identified the perceived challenges and advantages that LGBT immigrants experience during the acculturation process as well as various acculturation outcomes. We discuss clinical implications and future research directions in light of the results.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.634

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.151
GPT teacher head0.428
Teacher spread0.277 · 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 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

Citations39
Published2018
Admission routes2
Has abstractyes

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