Double jeopardy: lesbians and the legacy of multiple stigmatised identities
Bibliographic record
Abstract
An international sample of 803 lesbians from 20 countries responded to an internet based questionnaire containing a measure of internalised homophobia expanded from the Lesbian Internalised Homophobia Scale of Szymanski and Chung (2001); a series of items that we hoped measured internalised misogyny; measures of homosexual identity, selfesteem, depression, and psychosexual adjustment. Exploratory factor analysis supported four of the five factors of internalised homophobia. The scale was reliable and valid in individual sub-samples from Australia, the United States, Canada, England, and Finland. Correlational data suggested that internalised homophobia and internalised misogyny were indeed distinct, though related constructs, and regression analyses suggested that, for this sample, internalised homophobia was a much better predictor of psychological and psychosexual adjustment than was internalised misogyny. The talk will include discussion of methodological concerns, particularly regarding collecting data via the internet, and will invite advice regarding further validation of the measures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".