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Record W2946881472 · doi:10.16995/dscn.307

Tagging Time and Space: TEI and the Canadian Stratford Festival Promptbooks

2019· article· en· W2946881472 on OpenAlexaffvenueabout
Jennifer Roberts-Smith, Mark Kaethler, Toby Malone, Liza Giffen, Martin Holmes, Janelle Jenstad, Joseph Takeda

Bibliographic record

VenueDigital Studies / Le champ numérique · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsUniversity of VictoriaMedicine Hat CollegeUniversity of Waterloo
Fundersnot available
KeywordsHumanitiesArtArt history

Abstract

fetched live from OpenAlex

This paper presents the first phase in the development of a new, TEI-based protocol for the encoding of promptbooks. Because the principal function of a promptbook is to record spatiotemporal events whose communicative importance supersedes that of the book in which they are recorded, current standards for digital encoding do not always apply. With the stage managerial artifacts of The. John Gray and the Canadian Stratford Festival Archives as case studies, we provide a rationale for exploring additions to the existing TEI guidelines to account for the unique characteristics of promptbooks. Cet article présente la phase initiale du développement d’un nouveau protocole de codage TEI adopté pour des livres rapides. Puisque la fonction principale d’un livre rapide est l’enregistrement des évènements spatio-temporels dont l’importance communicative l’emporte sur celle du livre dans lequel on les écrit, les normes de codage numérique ne s’applique pas toujours. Avec les artefacts du régisseur The. John Gray et des archives du festival de Stratford du Canada, nous fournissons une justification pour la recherche sur l’adjonction aux consignes de TEI qui rend compte des caractéristiques uniques des livres rapides. <strong>Mots-clés:</strong> codage de texte; TEI; livres rapides; textes littéraires

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.211
Teacher spread0.185 · 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 teacher head, not a consensus.

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
Published2019
Admission routes3
Has abstractyes

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