MétaCan
Menu
Back to cohort
Record W3175874625 · doi:10.12745/et.24.1.4162

Hidden Music in Early Elizabethan Tragedy

2021· article· en· W3175874625 on OpenAlexvenueno aff
Ross W. Duffin

Bibliographic record

VenueEarly Theatre · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsnot available
FundersJohns Hopkins University
KeywordsTragedy (event)LiteratureCharacter (mathematics)Iambic pentameterStanzaRepertoireArtHistoryPoetry

Abstract

fetched live from OpenAlex

In modern times, scholars have widely regarded early Elizabethan tragedy, like Thomas Norton and Thomas Sackville’s Gorboduc (1561/62) and its successors at the Inns of Court, as verbose and unlyrical. Those criticisms may reflect an incomplete understanding of the original performance tradition, however. Like Senecan tragedies from this period, those plays include act-ending choruses, mostly in pentameter and in various stanza configurations. This study proposes that in the English tragedies, at least, those choruses were very likely sung, most probably to tunes from the emerging repertoire of metrical psalms. These findings would significantly affect the character of such plays and how they are perceived by scholars and audiences alike.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.015
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.207
Teacher spread0.188 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueEarly TheatreSame topicRenaissance Literature and CultureFrench-language works237,207