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Record W2068960776 · doi:10.1080/15538605.2010.481961

Religious Attitudes, Homophobia, and Professional Counseling

2010· article· en· W2068960776 on OpenAlexaff
Randolph Bowers, Victor Minichiello, David Plummer

Bibliographic record

VenueJournal of LGBTQ Issues in Counseling · 2010
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCape Breton University
Fundersnot available
KeywordsTransgenderLesbianHomosexualityScholarshipPsychologyGender studiesSocial psychologyPoliticsSociologyLaw

Abstract

fetched live from OpenAlex

During an Australian qualitative and empirical study looking at lesbian, gay, bisexual, and transgender client's experiences of counseling, and counselor's experiences of working with minority clients, a large body of unsolicited data emerged related to experiences of religious-based homophobia. Analysis of the data suggests that a lifelong process of posttraumatic recovery for many lesbian, gay, bisexual, and transgender people follows prior experiences of religious-based homophobia. This paper discusses the sociological debate related to how counselors find themselves at the crossroad between a healthy lifestyle model of homosexuality based in well established contemporary professional ethics versus long standing religious-based attitudes and constraints toward homosexuality. This intersection of conflicting beliefs generates a controversial social and political environment in which counselors must make a basic decision to either support minority clients according to ethical guidelines or to side with socially conservative constructs that, rightly or wrongly, rely largely on Western religious traditions.

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)0.004
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
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 head0.017
GPT teacher head0.395
Teacher spread0.377 · 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

Citations39
Published2010
Admission routes1
Has abstractyes

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