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Record W2160104323 · doi:10.2466/28.pr0.108.3.843-855

Explaining Inconsistencies in Shakespeare's Character Henry V on the Basis of the Emotional Undertones of His Speeches

2011· article· en· W2160104323 on OpenAlexaff
Cynthia Whissell

Bibliographic record

VenuePsychological Reports · 2011
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCharacter (mathematics)DramaPsychologySituational ethicsCourtshipAffect (linguistics)Social psychologyLiteratureArtCommunication

Abstract

fetched live from OpenAlex

Shakespeare's character Henry V is infamous, among 20th-century analysts of drama, for his inconsistent disposition. Some analysts highlight this character's reformation and others his Machiavellian tendency to moderate his disposition in tune with changing situations. The Dictionary of Affect in Language (Whissell, 2009) was used to score the emotional undertones of words in Henry V's dialogue. Analyses of these undertones, described in terms of Pleasantness and Activation, demonstrated that the character Henry V was, in overall terms, emotionally average, that there was minimal evidence of growth or reform in him across time, and that situational factors (e.g., revelry, kingship, courtship, battle) were associated with the dramatic changes in his speeches. The character employed more passive language in private and personal situations and more active language in his (public) royal role. Four categories of Henry V's speeches (Condescension, Control, Self-definition, and the Courtship of Good Opinion), represented in both public and private discourse, reflected increasing pleasantness in emotional undertones.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.201
GPT teacher head0.346
Teacher spread0.145 · 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 designObservational
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

Citations3
Published2011
Admission routes1
Has abstractyes

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