Before Equal Protection: The Fall of Cross-Dressing Bans and the Transgender Legal Movement, 1963–86
Bibliographic record
Abstract
Abstract Scholars are still unsure why American cities passed cross-dressing bans over the closing decades of the nineteenth century. By the 1960s, cities in every region of the United States had cross-dressing regulations, from major metropolitan centers to small cities and towns. They were used to criminalize gender non-conformity in many forms - for feminists, countercultural hippies, cross-dressers (or “transvestites”), and people we would now consider transgender. Starting in the late 1960s, however, criminal defendants began to topple cross-dressing bans. The story of their success invites a re-assessment of the contemporary LGBT movement’s legal history. This article argues that a trans legal movement developed separately but in tandem with constitutional claims on behalf of gays and lesbians. In some cases, gender outlaws attempted to defend the right to cross-dress without asking courts to understand or adjudicate their gender. These efforts met with mixed success: courts began to recognize their constitutional rights, but litigation also limited which gender outlaws could qualify as trans legal subjects. Examining their legal strategies offers a window into the messy process of translating gender non-conforming experiences and subjectivities into something that courts could understand. Transgender had to be analytically separated from gay and lesbian in life and law before it could be reattached as a distinct minority group.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.027 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.014 | 0.020 |
| Insufficient payload (model declined to judge) | 0.006 | 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".