Bibliographic record
Abstract
Alongside all the other functions of movie theaters over the past century, in Mexico City men have used them as sexual spaces. A few cinemas like the Cine Teresa became notorious as sites in which men could find male sex partners. Yet even there, behaviors of and narratives by men who had sex with men mirrored those by men who had sex with women. This article focuses on the history of masculine sexuality in Mexico City movie houses from 1920 to 2010. The presence of women in these houses, either as workers, on the screen, or in men’s memories, along with the presence of men who went there to watch heterosexual sex on the movie screen, suggests that moviegoing in Mexico City can be analyzed through the lens of gender history as much as through that of the history of sexuality. Despite major social, cultural and technological changes over the twentieth century, examining movie audiences in terms of the histories of sexuality and gender reveals a startling amount of continuity in movie theaters as spaces of male sexuality.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".