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Record W1576264669 · doi:10.3138/tric.22.1.110

Glenda Stirling, ed. The NeXtFest Anthology: Plays from the Syncrude Next Generation Arts Festival

2001· article· en· W1576264669 on OpenAlexaffvenue
Don Perkins

Bibliographic record

VenueTheatre Research in Canada · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWatsonThe artsNaturalismRomancePoetryAsideArt historyArtHistoryLiteraturePerformance artPhilosophyVisual arts

Abstract

fetched live from OpenAlex

Number 20 in NeWest Press's Prairie Play series, The NeXtFest Anthology, extends a useful tradition of anthologizing smaller works by established and new playwrights to introduce and draw attention to voices that might otherwise go unrecognized. This tradition began with the third entry in the series, Prairie Performance (1980). In the Foreword, General Editor and series founder Diane Bessai wrote of the need to show the "variety of plays shaped by Western regional experience," and her valuable concluding essay, "Prairie Playwrights and the Theatre," provides a pocket history of Western theatre activity over the previous fifty years. Prairie Performance gathers eight plays that span some 42 years and pays homage to careers seemingly past and to voices emerging into a new, more receptive theatre climate: Elsie Park Gowan, Frank Moher, Gwen Pharis Ringwood, Joanna M. Glass, Ken Mitchell, W. O. Mitchell, Gordon Pengilly, and Wilfred Watson. That Western regional play writing was anything but homogeneous at the time (or even "flat," as critics of Western or prairie writing in general are so fond of suggesting) is made clear in dramatic styles ranging from romantic folk-play and naturalism to McLuhanesque poetic abstractions that bridge medieval morality with contemporary shopping centre culture.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0080.006
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0600.036

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 head0.152
GPT teacher head0.324
Teacher spread0.172 · 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
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
Published2001
Admission routes2
Has abstractyes

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