MétaCan
Menu
Back to cohort
Record W7025481406

Women Playing Women in Sharon Pollock’s Blood Relations

2008· other· en· W7025481406 on OpenAlexaboutno aff

Bibliographic record

VenueSZTE Publicatio Repozitórium (University of Szeged) · 2008
Typeother
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsnot available
Fundersnot available
KeywordsDramaContext (archaeology)Variety (cybernetics)WishCharacter (mathematics)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

A quarter of a century is -in my view -ample time for Sharon Pollock's Blood Relations to have become an uncontested part of the drama canon in Canadian literature.Her peers rightly rewarded its merits when the very first Governor General's Award for drama was given to this play in 1981.It has been performed not only across Canada but in the U.S. and Europe as well.The published play, as well as its stagings, have received wideranging critical attention representing a great variety of approaches.On this occasion I would like to dwell on the metadramatic aspect of the play with a stress on the context of European drama.I do not wish to downplay Pollock's own remarks about classical and more modem theatre -"Shake speare's totally irrelevant to me.I don't care if I see another Ibsen before I die.I'm simply not interested in what I refer to as 'museum' theatre" (Pol lock 1982, 116) -still, if we take a closer look at Blood Relations, there are motifs that remind us of earlier masterpieces of European drama.Susan Stratton rightly points out that Mr. Borden's destruction of Lizzie's birds recalls Jean' s destruction of Julie's bird in Miss Julie.Pollock keeps the outcome of Strindberg's play before us, as Lizzie considers tire possibility of taking her own life.(Stratton 2000, 69-70)

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.393
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0390.016
Scholarly communication0.0100.003
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.017
GPT teacher head0.213
Teacher spread0.196 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueSZTE Publicatio Repozitórium (University of Szeged)Same topicAnalytical chemistry methods developmentFrench-language works237,207