MétaCan
Menu
Back to cohort
Record W2115213879 · doi:10.5539/ells.v4n3p18

Matrimonial Relations in Shakespeare’s The Taming of the Shrew: The Machiavellian Husband/Ruler

2014· article· en· W2115213879 on OpenAlexvenueno aff
Khaled M. Shuqair

Bibliographic record

VenueEnglish Language and Literature Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRulerPower (physics)Relation (database)Dominance (genetics)WifeSociologyOrder (exchange)Social orderPoliticsGender studiesLawPolitical science

Abstract

fetched live from OpenAlex

This paper argues with the feminist scholars that Shakespeare’s The Taming of the Shrew is essentially a romanticized version of male's dominance over woman, which reveals a historical context where gender crisis was salient. However, it proposes that the play presents the idea of marriage in such a way that the relation of the wife--the potentially disorderly woman--to her husband becomes an epitome for the relation of subordinates to their ruler. In the little world of the family, with its conspicuous tension between love and power, the larger matters of political and social order could find ready symbolization. In this world, the powerful Pertruchio acts in a Machiavellian manner to subjugate the powerless Katherine. His brutality is justified as a necessary evil in order to achieve social order as a higher moral goal. Love is contingent on the establishment of male's power in such a matrimonial relation; the husband is feared first, and then loved. Similarly, according to Machiavellian standards a successful ruler should build his state on fear rather than love for, while love is precarious, fear is held by a dread of punishment. Thus the marriage of Petruchio and Katherine is praised and rewarded at the end, because such a matrimonial relationship exorcised the fear of disorder that dominated early modern England.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0210.025
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.268
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 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
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language and Literature StudiesSame topicIrish and British StudiesFrench-language works237,207