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Record W2901380124 · doi:10.15760/honors.586

‘Do not mistrust my age or power’: Daughterly Agency in Three Elizabethan Family Drama Plays

2018· dissertation· en· W2901380124 on OpenAlexaboutno aff
Andreas Bassett

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDramaComedyPower (physics)Agency (philosophy)WindsorLiteratureRomanceGender studiesHistoryPeriod (music)DaughterSociologyArtPolitical scienceAestheticsLawSocial science

Abstract

fetched live from OpenAlex

Three romantic comedy plays set in rural English towns, Henry Porter's The Two Angry Women of Abingdon, William Shakespeare's The Merry Wives of Windsor, and the apocryphal The Merry Devil of Edmonton, were written and performed during the late Elizabethan era. These three plays are considered to be a part of the lesser-known genre of "family drama," and emerged within roughly five years of each other during a tug-of-war period when London's two dominant play companies, the Admiral's Men and the Lord Chamberlain's Men, deliberately imitated their counterpart's repertoire in an attempt to fight for audienceship. The plots of the family drama plays revolve around a marriageable daughter figure that is either propelled to marry or prevented from marrying her desired mate. The purpose of this thesis is to examine the role of the daughter in the family drama in order to evaluate the level of agency she possesses within the male-dominated controlled system of marriage exchange. By scrutinizing her character, speech, actions, and reactions, as well as how she is treated and regarded by her parents, suitors, and members of her community, we are able to discern whether or not her marriage in the culminating communal reconciliation in the final act stems from true love or societal compulsion.

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)0.003
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.006
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.002
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 head0.040
GPT teacher head0.272
Teacher spread0.232 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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