MétaCan
Menu
Back to cohort
Record W4225306306 · doi:10.24908/iqurcp15484

As Red as Blood: Women's Temporality and Pain in Angela Carter's "The Bloody Chamber"

2022· article· en· W4225306306 on OpenAlexvenueno aff
Hannah Luppe

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTemporalityBloodyGirlLiteratureGender studiesSociologyHistoryArtPsychologyPhilosophyDevelopmental psychology

Abstract

fetched live from OpenAlex

As Red as Blood: Women's Temporality and Pain in Angela Carter's "The Bloody Chamber" The story begins with a young girl. She’s lanky, shy, and doesn’t know her body, a fact which becomes apparent the morning she wakes to find blood on her sheets for the first time. My adolescent years were painful, awkward, and bloody. Nonetheless, I learned how to wash the stains from my sheets and take care of my body when it was hurting. I learned that becoming a woman was something to be celebrated, but quietly. A woman’s menstrual cycle is used by society to dictate womanhood. It is difficult, however, to control something that is so persistent. Women’s pain is timeless—it is present each month whether society deems it acceptable or not. Fairy tales, too, are timeless, consistent in their punishment of women’s pain. Angela Carter’s The Bloody Chamber reinvents the fairy tale, encouraging us to ask more of those traditional stories by allowing women’s time to expand—much like a womb—making room for pain and desire. Between countesses with a taste for blood and girls who are more wolf than woman, Carter embraces the cultural anxiety that becoming a woman is a threatening and monstrous process. My paper blends research with the fairy tale genre to offer a performative analysis of The Bloody Chamber, asking readers to reach beyond the boundaries of academic writing, much like Carter’s retellings. Here, becoming a woman is a thing to be celebrated, and loudly. Here, we are allowed to exist, blood and all.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.069
GPT teacher head0.321
Teacher spread0.253 · 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.

Study designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicFolklore, Mythology, and Literature StudiesFrench-language works237,207