A retrospective study of sexual minority women’s gendered sexuality: Butch and femme sex at the turn of the 21st century
Bibliographic record
Abstract
This study is a retrospective examination of how sexual minority women have experienced their sexuality. The analysis examined a national archival dataset that was collected online in the US and Canada to examine the relationship between gender and sexuality in 1084 sexual minority women in 2003, with a focus on butch and femme identities. It provided an understanding of how gender and sexuality interacted at the turn of the last century when the gender identity landscape differed from that of today. While this study collected data from butch and femme women approximately 20-years ago, the results have implications for how we develop situated understandings of the relationship between gender and sexuality. Findings indicated gendered patterns in sexual preferences and attraction that can shed light on how gender and sexuality have evolved in connection. At the same time, there were no differences in sexual satisfaction, which suggests that the enactment of gendered sexuality (in which attraction is structured by a gender dynamic) was experienced as empowering rather than oppressive. We examine our findings in relation to current scholarship on gendered sexuality to consider how sexuality is constructed and reconstructed across time. The findings support a view of gendered sexuality as a source of pleasure, affirmation, and positive embodiment. We theorize gendered sexuality as functioning to enhance experiences of authenticity and resist heteronormativity. The study holds implications for research on the interaction of gender and sexuality.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".