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Record W2085201997 · doi:10.12745/et.3.1.577

‘His langage is lorne’: The Silent Centre of the <em>York Cycle</em>

2000· article· en· W2085201997 on OpenAlexaffvenue
Alexandra F. Johnston

Bibliographic record

VenueEarly Theatre · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExposition (narrative)Logos Bible SoftwareCharacter (mathematics)Christian ministryWord (group theory)Action (physics)ArtLiteratureVisual artsTheologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

In their portrayal of the character of Christ, the York playwrights exploited the concept of logos. In the plays of the ministry and again in the post-resurrection plays, he is indeed, 'The Word on the Street', actively teaching and preaching the ways of holy living openly, colloquially, humanly. But at the centre of the sequence, in the hands of his enemies, Christ, the logos, falls silent. The playwrights understood Christ to be the Word and the Word to be Truth. The action of the trial plays is based on deceit and lies, reflecting Peraldus' exposition of the 'peccata linguae'. All the Word needs to do is stand silent, to be the 'still centre' and even as they condemn him his enemies condemn themselves out of their own mouths.

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: none
Teacher disagreement score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.021
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.015
GPT teacher head0.199
Teacher spread0.184 · 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

Citations5
Published2000
Admission routes2
Has abstractyes

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