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Record W4362649798 · doi:10.38055/sof010104

The Battle of the Hemlines: Clothing and Illness in the Early Twentieth Century

2023· article· en· W4362649798 on OpenAlexvenueno aff

Bibliographic record

VenueFashion Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsClothingBattleHistoryAncient historyArtArchaeology

Abstract

fetched live from OpenAlex

In Illness as Metaphor, Susan Sontag argued that a new mobility in the eighteenth century unsettled established ideas of worth and station.These were reasserted "through new notions about clothes ('fashions') and new attitudes about illness.Both clothes (the outer garment of the body) and illness (a kind of interior décor of the body) became tropes for new attitudes toward the self."Fashion studies and the history of medicine have productively investigated the relationship between clothes and illness, respectively, to the self.But the connection between clothing and health has been under-analyzed.While most work in this overlap focuses on clothing's ill effects, this paper seeks to open another area of inquiry -using the skirt as case study, it attempts to articulate a theory of clothing as medicine by juxtaposing three well-known issues surrounding preventive care and skirts in the early twentieth century: cross-dressing and the (supposed) pathological drive of "transvestites"; arguments for shorter skirts in light of the new dangers uncovered by germ theory; and the dress reform movements' promotion of the kilt.These cases illustrate the work of the medical profession to maintain "healthy" selves that could be socially positioned according to recognizable binaries of gender, class, and normality.Through analysis of published case studies, popular media, and articles in medical journals, and attending particularly to the pushback present in all three cases, this paper thus seeks to mine the disciplinary boundary between the history of medicine and fashion studies to expand our notions of medical objects and to add new "language" to clothes.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.712

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 studies0.0010.000
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 head0.062
GPT teacher head0.284
Teacher spread0.222 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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