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Record W1506609832 · doi:10.3138/tric.33.1.1

Walking the Edge of the Stage in Theory; Or, Janet Cardiff’s Sensorium for Intermedial Bodies

2012· article· en· W1506609832 on OpenAlexaffvenue
Carmen Derkson

Bibliographic record

VenueTheatre Research in Canada · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSubjectivityIdentity (music)SociologyNarrativeAestheticsNormativeRepresentation (politics)ArtEpistemologyPhilosophyLiteraturePolitics

Abstract

fetched live from OpenAlex

This article examines Janet Cardiff ’s site-specific art, and in particular, the 2005 audio walk, Her Long Black Hair, as a possible site of refusal or an alternative to the panoptic docile, disciplined Foucaultian body. This paper investigates Cardiff ’s sound-based collaboration, often performed with artist Georges Bures Miller, as a sensorial, chorographic, and intermedial practice that challenges discourses of representation, such as conformist, dominant fixed perceptions of identity and scripted subjectivity. Cardiff ’s work demonstrates the process of intermediality and how the intermedial body disrupts linear and visual narratives or sites that fix identity through the constructs of the historical and cultural. The article forwards critical questions about the conditioned human desire for bodily fixity, surveillance, and panoptical structures promoting normative, disciplinary hierarchies, especially through nostalgia for narratological closure. Cardiff ’s work, her performance and artistic strategies, offer other avenues for inhabitation of the radical sensorium, the body as palimpsestuous, inner theatre, wherein she invites us to participate differently—to listen and see, to experience differently. The article also takes up an intermedial, palimpsestic form with spaces created for moments of pause and reflection: an enacting of the site-specific intermedial and palimpsestic body.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.100
GPT teacher head0.320
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2012
Admission routes2
Has abstractyes

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