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Record W2088006860 · doi:10.12745/et.14.1.868

<em>The Seven Deadly Sins</em> and Theatrical Apprenticeship

2011· article· en· W2088006860 on OpenAlexvenueno aff
David Kathman

Bibliographic record

VenueEarly Theatre · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPlot (graphics)ApprenticeshipRebuttalNothingArgument (complex analysis)Variety (cybernetics)HistoryLawArtLiteraturePhilosophyPolitical scienceArchaeologyEpistemologyMedicine

Abstract

fetched live from OpenAlex

The manuscript 'plot' of the play The Second Part of the Seven Deadly Sins is a valuable document for theatre historians, but its date and company have been a matter of dispute. It was long thought to originate with Strange's Men in the early 1590s, but David Kathman argued in a 2004 article, using a variety of evidence including apprenticeship records, that it is actually from the Lord Chamberlain's Men in 1597-98. Andrew Gurr argued for the traditional date in his 2007 article 'The Work of Elizabethan Plotters and 2 Seven Deadly Sins', challenging the relevance of Kathman's new evidence and claiming that his redating of the plot results in various problems. However, Gurr's rebuttal is itself marred by errors and faulty reasoning, and does nothing to weaken Kathman's argument. In particular, Gurr's claims about London apprentices are refuted by a wide array of documentary evidence.

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)0.002
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.022
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0170.002

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 head0.027
GPT teacher head0.243
Teacher spread0.216 · 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

Citations10
Published2011
Admission routes1
Has abstractyes

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