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Record W6999608358

Culture War Commonalities: Personal Appearance in Commonwealth England

2019· dissertation· en· W6999608358 on OpenAlexaff

Bibliographic record

VenueQSpace (Queen's University Library) · 2019
Typedissertation
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsOpposition (politics)PoliticsCommonwealthIdeologySpanish Civil WarMoral panicSwift
DOInot available

Abstract

fetched live from OpenAlex

The swift social, political, and religious changes that encompassed England’s Civil Wars, and later the Puritan-dominated Commonwealth, during the seventeenth-century led to a surge of moralist literature, published during a period with little to no press censorship. Against a backdrop of social upheaval and failing moral reformation, commentators increasingly perceived personal appearance as a source of moral failing throughout England. While the campaign of moral reformation at the time can most strongly be attributed to Puritan influences, on the interconnected questions of hair, dress, and cosmetics, political and religious fault-lines appear relatively few. While writers waged a propaganda war against one another through the press, when it came to the topic of appearance, their proscriptions appear have been largely similar. Though significant differences did still appear on a handful of key issues, it becomes apparent that few writers, regardless of how permissive or restrictive their ideologies may otherwise have been, were able to stomach the perceived, rising tide of subversive practices in self-presentation. Though these subversive practices could be leveraged as political insults in attempts to associate opposition with illicit fashion, this was not exclusive to any one side, nor did these insults necessarily reflect their intended target’s actual outlook. Fashion was a site of significant cultural tension and appeared as one battleground in the ongoing culture war of the time, but it was one in which moralists, pamphleteers, and other writers shared a familiar fear: that the age they were living in had become licentious, permissive, and morally backwards.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.008
GPT teacher head0.179
Teacher spread0.171 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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