‘Female’ Sport and Testosterone Panic
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.
Bibliographic record
Abstract
Abstract While transgender people have had some success in gaining recognition and human rights in the collection of nations known colloquially as ‘the West’, a well-financed reactionary movement is attempting to roll back these gains. A constellation of white supremacist, conservative, and heteropatriarchal organizations and movements are in collusion with so-called ‘gender critical feminists’ to resist feminist and gender-inclusive challenges to traditional gender and sexual hierarchies by targeting trans girls and women – more so than trans boys, trans men and non-binary people – for surveillance and exclusion (Sharrow, 2021a, 2021b). In the past several years, bills designed to delegitimize and exclude trans people in various ways have been introduced in many US state legislatures. Within this larger anti-trans campaign, bills designed specifically to block trans girls and women from participating in ‘female’ sport have been signed into law in 11 US states to date and proposed in many others. It is no accident that organized sport is a site for contesting the inclusion of transgender people and that transgender girls and women are the primary targets of these campaigns. Debates about criteria for female eligibility and a succession of pseudo-scientific forms of ‘sex testing’ in elite levels of sport highlight both the ideological nature of the two-sex system and the intense material and cultural investment in maintaining its façade. In this chapter, I mobilize moral panic theory to focus specifically on anti-trans campaigns in the United States aimed at preventing trans girls and women from participating in ‘female’ sport as evidence of a testosterone panic.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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 it