MétaCan
Menu
Back to cohort
Record W2953551505 · doi:10.1080/00918369.2019.1627129

Beyond the Superordinate Categories of “Gay Men” and “Lesbian Women”: Identification of Gay and Lesbian Subgroups

2019· article· en· W2953551505 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Homosexuality · 2019
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsLesbianPsychologyHomosexualitySuperordinate goalsGender studiesSocial psychologySociology

Abstract

fetched live from OpenAlex

Nation-wide opinion polls and social scientific studies indicate that evaluations of gay men and lesbian women have become increasingly favourable. These positive trends do not explain the widespread discrimination experiences being reported. To assist researchers in investigating attitudes towards gay and lesbian persons, the current research examines whether there are multiple “types” that are identifiable and salient. Two Canadian studies (Ns = 67 and 206) were conducted to establish the presence of gay and lesbian subgroups. Using subgroups generated by Study 1 participants, community and student sub-samples selected those they perceive to exist. Results indicated that, for gay men, the subgroups Drag Queen and Flamboyant emerged, as did Butch for lesbian women. Amongst students, Closeted and Feminine also emerged for gay men, as well as Feminist and Tomboy for lesbian women. These findings have implications for contemporary research on gay- and lesbian-related attitudes and the methodology used to assess them.

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.

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)0.003
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 score0.078
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.352
Teacher spread0.323 · 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