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Record W7006610889

University Dramatic Club Glebe Theatre Players Index: University of Tasmania Collection

2014· other· en· W7006610889 on OpenAlexaboutno aff

Bibliographic record

VenueUTAS Research Repository · 2014
Typeother
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsClubNewspaperIndex (typography)George (robot)Performance art
DOInot available

Abstract

fetched live from OpenAlex

The Glebe Theatre Players were established early in 1947 under the aegis of Joyce Eyre (Mrs Phillips), a lecturer in the Department of English. David Mattingley was the Secretary and organiser for the first three years. "The primary aim is to help students obtain a more intimate knowledge of the plays they study ... although it is open to all" (Union Handbook 1949). Plays produced in the first three years were: Ibsen's "A Doll's House", G.B. Shaw's "Major Barbara", Shakespeare's "Hamlet" and "The Taming of the Shrew", Galsworthy's "Strife", Shakespeare's "Macbeth", Marlowe's "Dr. Faustus" (play reading), J.M. Barrie's "The Admirable Crichton", Ben Jonson's "Volpone", Shakespeare's "King Lear", G.B. Shaw's "Arms and the Man", T. Dekker's "The Shoemaker's Holiday", Oscar Wilde's "The Importance of Being Earnest". Regular players included David Mattingly, Christobel Shepley (later Mrs Mattingley), Rex Batt, Cynthia Waters, Geoff Haward, Oliver Heyward, Douglas Lamb, Pierre Hutton, Peter Sprent, Vona Rackliff, Betty Parker, Malcolm McRae, Ken Axton, Jeff Scrivener, Peter Cranswick, Nigel Heyward, and Robert Sharman. Includes programmmes and news cuttings 1947–1950. Donated by David Mattingley July, 1993. From University Collection UT556. See also UT424 University Dramatic Society 1921 Index http://eprints.utas.edu.au/18396/ which includes photographs of rehearsals, newspaper reviews, cast list.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.522
Threshold uncertainty score0.682

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.007
Science and technology studies0.0040.001
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.5220.185

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 head0.027
GPT teacher head0.327
Teacher spread0.300 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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