MétaCan
Menu
Back to cohort
Record W3060994370 · doi:10.1525/msem.2020.36.1-2.216

A Sentimental and Sexual Education

2020· article· en· W3060994370 on OpenAlexaff
Anne Rubenstein

Bibliographic record

VenueMexican Studies/Estudios Mexicanos · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsYork University
Fundersnot available
KeywordsHuman sexualityGender studiesMovie theaterNarrativeSociologyPsychologyHistoryArtArt historyLiterature

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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.

Opus teacher head0.064
GPT teacher head0.270
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueMexican Studies/Estudios MexicanosSame topicCinema and Media StudiesFrench-language works237,207