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Record W1598901502 · doi:10.3138/tric.32.2.207

Crossing Over: Theatre Beyond Borders / Telematic Performance

2011· article· en· W1598901502 on OpenAlexaffvenue
Kathleen Irwin

Bibliographic record

VenueTheatre Research in Canada · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsCyberspaceThe InternetEmbodied cognitionGlobalizationSociologyIdentity (music)Virtual worldMedia studiesCosmopolitanismAestheticsWorld Wide WebVisual artsComputer sciencePolitical scienceArtHuman–computer interactionPoliticsLaw

Abstract

fetched live from OpenAlex

This article discusses “Crossing Over,” a pedagogical art / performance project linking university students around the world that investigates the notions of cosmopolitanism and mobility as ways to constitute meaningful social networks by exchanging virtual performances—and suitcases—over the internet. The questions that the project asks are critical in light of the globalization of information that the World Wide Web and other crossing over points represent. While globalization opens borders to all manner of material exchanges (including people), endless digital data stream through the Internet portal providing opportunities to trade on personal information. We explore and share our identity at our peril. “Crossing Over” also explores the idea that there is an intrinsic relationship between embodied presence and one’s place in the world. Performing or representing who we are is indistinguishable from the place from which we come. The Internet shows us that the experience of presence is manifold and strongly manifest in virtual environments. Cyberspace is not a non-place—it is the ever-mutable backdrop, the mirror held up to a virtual spectator—who will always see something more than a mere reflection—will see differently based on his/ her place in the world.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.306
Teacher spread0.217 · 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 designNot applicable
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
Published2011
Admission routes2
Has abstractyes

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