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Record W7033975836

The Shame of the Violent Woman

2018· other· en· W7033975836 on OpenAlexfundno aff

Bibliographic record

VenueResearch Online (University of Wollongong) · 2018
Typeother
Languageen
FieldComputer Science
TopicHuman Pose and Action Recognition
Canadian institutionsnot available
FundersYork UniversityUniversity of MinnesotaYale University
KeywordsGestational periodTSG101NucleofectionHyporeflexiaHyperlactatemiaDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

British and Irish suffragettes invited passionate opposition. British anti-suffragists were adamant that violence degraded womanhood. Physically, women were not suited to the exercise of physical force. Women’s bodies were built to facilitate the more nurturing and less destructive function of childbirth. Emotionally, they were not trained to engage in legitimate forms of violence as men were. Honour codes directed men’s use of violence. Men were directed to adhere to standards of courage, chivalry, and fairness when engaging in physical combat with each other. Women were not brought up to embody these virtues. Violent women were, therefore, aberrations. This chapter examines anti-feminist opposition to female acts of militancy on the grounds that women’s violence jeopardised the operation of codes of chivalry that were established to protect them—the weaker sex—from the violent actions of men—the stronger sex. The chapter also analyses patriotic Irish women’s rejection of the shame of the violent woman and their construction of a feminist and nationalist ethics of violence. Patriotic Irish women claimed that their militancy could help restore national honour by returning the ancient nation to its pre-colonised state—one in which male and female warriors co-existed.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.054
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.307
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreOther

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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