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Record W4412943035 · doi:10.1177/09518207251354946

Adornments of empire: Early Christian dress and the colonial composition of gender

2025· article· en· W4412943035 on OpenAlexaff
Carly Daniel-Hughes

Bibliographic record

VenueJournal for the Study of the Pseudepigrapha · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsConcordia University
Fundersnot available
KeywordsColonialismEmpireComposition (language)HistoryAncient historyArtLiteratureArchaeology

Abstract

fetched live from OpenAlex

This article considers anti-adornment rhetoric circulating in Roman antiquity and in two of the earliest and most extensive treatments of dress by early Christian writers, namely, treatises by Tertullian of Carthage and Clement of Alexandria. It treats ancient Roman-period discourses of anti-adornment to reveal how configurations of gender were entangled in Roman-imperial race–making and colonial projects. Tertullian’s and Clement’s treatments of adornment, it argues, likewise rehearse Roman colonial imaginaries. Their declamations against luxurious dress and adornment are read here as registering Roman colonial anxieties about the intermingling of populations, the influx of goods and peoples, and the fluctuating dynamics of social belonging and self-display Roman imperial order demanded. It concludes that these Christian authors’ discourse on gendered adornment indicates their investment in and contributions to ancient Roman ethno-racial and imperial formations. Finally, in conversation with Americanist Anne Anlin Cheng’s concept of “ornamentalism,” it offers a brief consideration of how their rhetoric figures in the longue durée of western imaginaries of Asiatic femininity.

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)0.001
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 score0.758
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.030
GPT teacher head0.276
Teacher spread0.246 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

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