<i>“I wouldn’t say that I’m overly campy”</i>: The socio-cultural subjugation of femininity within gay socio-sexual applications
Bibliographic record
Abstract
The prevalence of femmephobic attitudes amongst gay, bisexual, and queer (GBQ) men is well-reported, yet under-discussed employing femme theory. Femmephobia, or the socio-cultural regulation of femininity, is common within GBQ online socio-sexual applications, yet more research is needed to analyze the different ways femmephobia takes place within GBQ socio-sexual applications predominately used by GBQ men. This study analyzes qualitative data from semi-structured interviews with 79 participants who described their experiences using socio-sexual applications and interacting with online outreach and health information workers. Participants described the different ways femmephobia and the regulation of femininity manifests within GBQ socio-sexual applications and how such forms of regulation relate to self-presentation and the privileging of masculinity within GBQ socio-sexual applications. Participants further described how femmephobia and the denigration of femininity intersected with anti-Asian racism online.
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 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".