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Record W2888999640 · doi:10.3138/seminar.54.3.005

“Should Women Be Amazons?”: Reallocating Masculinity in German Postwar History and <i>Hosenrolle</i>

2018· article· en· W2888999640 on OpenAlexvenueno aff
Alison Guenther-Pal

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
Fundersnot available
KeywordsMasculinityGender studiesFemininityEmasculationLesbianSociologyQueerFantasyArtLiterature

Abstract

fetched live from OpenAlex

This study examines early 1950s West German Hosenrolle film to argue that negotiations around the rights to masculinity were critical in postwar reconstruction efforts. The cinematic sub-genre offers a non-heteronormative counterpoint to the discursive reallocation of masculinity that ultimately demanded the emasculation of women, whose sphere of authority had expanded during the war and early postwar years. Analysis of Fritz und Friederike (1952) demonstrates that the feminine masculinity of its protagonist is not pathologized and instead provides a point of resistance to gender norms, patriarchal family structures, and compulsory heterosexuality. Furthermore, the depiction of minority masculinities represented allows for the emergence of feminist, lesbian, and other queer pleasures. However, these films also depict an ambivalence about the new femininity and women’s emasculation. Thus, early 1950s Hosenrolle film captures both the fantasy of empowerment and the pain of gender conformity in the wake of the new conservative postwar politics of gender and 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)0.001
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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
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 head0.086
GPT teacher head0.365
Teacher spread0.279 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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