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Record W2942627379 · doi:10.3138/seminar.55.2.5

In and Out of Uniform: Imagining and Illustrating Queer Subjects, Institutional Spaces, and Counterpublics in Christa Reinig’s <i>Mädchen ohne Uniform</i> and “Die ewige Schule”

2019· article· en· W2942627379 on OpenAlexaffvenue
Simone Pfleger, Faye Stewart

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicGerman Colonialism and Identity Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQueerConversationArtArt historyNarrativeWhite (mutation)HumanitiesSociologyGender studiesLiteratureCommunication

Abstract

fetched live from OpenAlex

This essay explores ways of reading Christa Reinig’s 1981 Mädchen ohne Uniform, which was revised and republished in 1982 as the short story “Die ewige Schule,” in conversation with the texts that inspired them, stressing connectivities in gender, sexual, and educational politics across time. Mädchen ohne Uniform and “Die ewige Schule” revisit the iconic stories of Christa Winsloe’s Ritter Nérestan and Leontine Sagan’s Mädchen in Uniform from the point of view of a fictional Christa Winsloe and feature an updated version of her protagonist Manuela living in West Germany a half-century later. In conversation with gender and queer theories about belonging, resistance, and futurity (Michael Warner, Heather Love, Sara Ahmed, and José Esteban Muñoz), we read the eruption of queer moments as interventions into heteropatriarchal privilege, cultural and pedagogical traditions, and institutional power structures. Our analysis attends to the circulation of imagery and illustrations in and around Reinig’s narrative, including intertextual references to Weimar-era visual culture as well as the black-and-white lithographs by Klaus Endrikat that adorn the Eremiten-Presse edition of Mädchen ohne Uniform.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0130.050
Scholarly communication0.0070.010
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.266
Teacher spread0.241 · 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 designTheoretical or conceptual
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

Citations2
Published2019
Admission routes2
Has abstractyes

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