MétaCan
Menu
Back to cohort
Record W767716409

'My Breasts Sear'd': The Self-Starved Female Body and A Woman Killed with Kindness

2004· article· en· W767716409 on OpenAlexvenueno aff
Christopher Frey, Leanore Lieblein

Bibliographic record

VenueEarly Theatre · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsKindnessAdulteryPietyVirtueStarvationPunishment (psychology)Period (music)Agency (philosophy)SacrificePsychoanalysisPower (physics)LiteratureGender studiesPsychologyArtSociologyReligious studiesPhilosophyAestheticsTheologySocial psychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

In Thomas Heywood’s A Woman Killed with Kindness (1603), Anne Frankford responds to her husband’s punishment of her adultery by choosing to starve herself to death. Female self-starvation was associated in the medieval period with spiritual transcendence and saintliness, in the late sixteenth and early seventeenth centuries with domestic piety and wifely virtue, and by the end of the seventeenth century with medical pathology. This article recognizes the spiritual and material implications of Anne’s fasting; it also, however, associates her self-starvation with the monomastectomy attributed to Amazons who figure importantly in Heywood’s Gunaikeion and Exemplary Lives . Anne’s starvation, we argue, is a withdrawal of the power to nourish, and can be understood as a response to the social significance of food and eating as a form of control in the patriarchal economy of the early modern household. Further, the active agency and corporeality of Anne’s suffering replaces the passivity of her earlier representation in the play as a template for fallen female virtue.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.012
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.183
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 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

Citations7
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueEarly TheatreSame topicHistorical Economic and Social StudiesFrench-language works237,207