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Record W1824142607

Deconstructing the "Fourth Wall": Metatheatricality in Plautus' Miles Gloriosus and Osofisan's Tegonni

2014· article· en· W1824142607 on OpenAlexvenueno aff
Emmanuel Folorunso Taiwo

Bibliographic record

VenueCanadian social science · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDramaComedyLiteratureArtHermeneuticsReading (process)Character (mathematics)HistoryPhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

The Roman theatrical tradition owes a great deal to the spirit of Greek theatre in antiquity, particularly as pioneered by Menander in New Comedy. The reception and subsequent reputation of the Greek theatrical convention among Plautus’ audience, has recently been attributed to his skilful re-theatricalisation of the alien drama through the use of what scholars have variously identified as metatheatre, -the self-referentiality of drama. The use of this technique has called attention to the highly metafictional world of Plautine drama and in this case, his Miles Gloriosus, which has also been emphasized as metatheatrical. The contemporary Nigerian theatre practitioner/playwright, Femi Osofisan, has also shown metatheatrical moments in his works. Osofisan’s Tegonni, has betrayed a reception of such metatheatricality as identified in Plautus’ Miles Gloriosus. But beyond hosting own critique, both plays portray an undercurrent of events privileging a socio-cultural hermeneutics, whose currency subsists even in contemporary climes. The paper examines the reception of Plautine metatheatrical techniques and its attendant socio-cultural interpretations in Miles Gloriosus, and in post-colonial Nigerian drama through a reading of Femi Osofisan’s Tegonni, an African Antigone.

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)0.001
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 score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.017
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.225
Teacher spread0.206 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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