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Record W2068690113 · doi:10.1093/notesj/gjl011

The Title-Page of The World Tossed at Tennis: A Portrait of a Jacobean Playing Company?

2006· article· en· W2068690113 on OpenAlexaff
David Nicol

Bibliographic record

VenueNotes and Queries · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWoodcutPortraitSimplicityArtArt historyLiteratureVisual artsPhilosophyEpistemology

Abstract

fetched live from OpenAlex

THE title page of The World Tossed at Tennis, a masque performed by Prince Charles's Men in 1620 and published in the same year, features a woodcut depicting some of the characters (see Figure 1).1 R. A. Foakes has shown that the image represents a specific scene in the masque.2 However, the woodcut may be of further interest: the images of the characters may be intended as portraits of the actors who performed them. Only two of these actors can now be identified, but this playtext may be unique in being marketed with portraits of more than one of its performers. The first actor who can be identified is William Rowley. As the company's clown actor,3 Rowley would have played the role of Simplicity, who appears on the right-hand side of the image. The costume is that of a traditional stage clown,4 but the artist has taken the trouble to give the image at least one of Rowley's distinctive quirks. Rowley was fat,5 and although Simplicity's torso is not represented as remarkably large, his legs are noticeably plumper than those of the other characters. This indicates that the artist was trying to draw a recognizable image of Rowley, and suggests that Simplicity's other distinctive features (the short beard and the strangely closed eyes) may refer to other physical characteristics of Rowley.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0640.011

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 head0.197
Teacher spread0.181 · 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 designQualitative
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
Published2006
Admission routes1
Has abstractyes

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