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Record W2919388510 · doi:10.1215/23289252-7090101

Curating <i>A Third Gender: Beautiful Youths in Japanese Prints</i>

2018· article· en· W2919388510 on OpenAlexaboutno aff
Asato Ikeda

Bibliographic record

VenueTSQ Transgender Studies Quarterly · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionScholarshipHistoricity (philosophy)NarrativePeriod (music)Gender studiesObject (grammar)Visual cultureHuman sexualitySociologyVisual artsHistoryArtAestheticsLiteraturePolitical science

Abstract

fetched live from OpenAlex

Abstract Should we discuss practices around sex and sexuality in early modern Japan as a distinct, foreign phenomenon entirely unique to the period and culture, or can we somehow draw a genealogy and create a trans-historical narrative that ends with today's LGBTQ+ culture? These questions were central to the process of organizing the exhibition A Third Gender: Beautiful Youths in Japanese Prints at the Royal Ontario Museum (ROM) in Toronto in 2016. The exhibition focused on visual representations of male youths, called wakashu in Japanese, who were the object of sexual desire for both women and adult men in Edo-era Japan. Presented in the form of an exhibition, the project necessitated engaging the past with the present and the general public with scholarship. In this short reflection essay, the author and curator explains how the Third Gender project approached the question of Edo-era Japan's trans-historicity.

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)0.003
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.021
Scholarly communication0.0070.004
Open science0.0010.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.078
GPT teacher head0.348
Teacher spread0.271 · 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
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueTSQ Transgender Studies QuarterlySame topicJapanese History and CultureFrench-language works237,207