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Record W2001510083 · doi:10.3138/md.53.1.057

Between the Language and Silence of War: Martha Gellhorn and the Female Characters of Hemingway's <i>The Fifth Column</i>

2010· article· en· W2001510083 on OpenAlexvenueno aff
Lisa Jackson-Schebetta

Bibliographic record

VenueModern Drama · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceMilitarismMasculinityFemininityRhetoricAgency (philosophy)Lost GenerationFantasySpanish Civil WarGender studiesSeparate spheresSociologyHistoryLiteratureArtAestheticsPoliticsLawPolitical sciencePhilosophyLinguistics

Abstract

fetched live from OpenAlex

The Fifth Column (1938) explicitly dramatizes militarized codes of behaviour among men in war. The play also documents the labour of women produced by the economic realities and imaginative possibilities of war time. Hemingway's written representations of women, intended for mimetic embodiment, enact both misogynist fantasy and feminist agency and embody, to draw from Teresa de Lauretis, the language of men and the silence of women. Dorothy Bridges is based on the real Martha Gellhorn who, in 1937, was crafting a burgeoning career as a war journalist. Dorothy, like Martha on whom she is based, remakes, from her own vantage point, a world unmade by spectacular violence. Simultaneously, Anita, a fictive prostitute, exposes the multiple sexualized spheres of inter- and intra- gender exploitation produced by militarism. Hemingway's fictional characters combine with their historical counterparts to disrupt the oppositional categorizations of masculinity versus femininity upon which the rhetoric of war depends.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.195
Teacher spread0.188 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2010
Admission routes1
Has abstractyes

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