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Record W2083152660 · doi:10.3138/ctr.159.011

Inside Information: Ken Cameron’s <i>How iRan</i>

2014· article· en· W2083152660 on OpenAlexvenueaboutno aff
Patrick Finn

Bibliographic record

VenueCanadian Theatre Review · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeImmigrationStyle (visual arts)SociologyMedia studiesPoint (geometry)Multidisciplinary approachSocial mediaDigital mediaVisual artsAestheticsArtWorld Wide WebPolitical scienceLiteratureComputer scienceLawSocial science

Abstract

fetched live from OpenAlex

Abstract: This article examines Ken Cameron’s multidisciplinary play How iRan: Three Plays for iPod. Author Patrick Finn argues that Cameron’s play uses digital technology to intimately engage with one of Canadian theatre’s most essential and intriguing themes: immigration. The play has three paths, each of which can be followed at any point. This creates a unique performance style that addresses how digital technology presents information to users. The play does not separate audience members with digital media; instead, Cameron’s audience moves in close physical proximity, and they walk through individual narrative experiences. Cameron uses interviews with Iranian-Canadians with direct immigration and cultural experiences to create personal connections with his material. Designer Anton DeGroot structured installation art pieces at narrative stations to further embed the play with new world information. Iranian-Canadians who decided to remain anonymous because of fear of reprisals against their families for their involvement in Cameron’s play have created several of the art stations in this play. This piece connects us with new and historical material through digital innovation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.913
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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.209
Teacher spread0.186 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2014
Admission routes2
Has abstractyes

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