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Record W2996490494 · doi:10.7202/1065074ar

GESTURING TOWARD THE VISUAL: VIRTUAL REALITY, HYPERTEXT AND EMBODIED FEMINIST CRITICISM

2019· article· en· W2996490494 on OpenAlexaffvenueabout
Carolyn Guertin

Bibliographic record

VenueSurfaces · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsScholarshipCriticismHypertextEmbodied cognitionBaroqueAestheticsFeminismSociologyArtVisual artsLiteratureComputer sciencePhilosophyEpistemologyGender studiesLawWorld Wide WebPolitical science

Abstract

fetched live from OpenAlex

Feminist critics have been as slow to take up the tools of electronic scholarship as the academy has been at recognizing on-line criticism as a legitimate mode of investigation. Canadian experimental feminist authors and artists, however, are proving more likely to embrace the philosophy, if not necessarily the medium, of electronic possibilities. The potential for cutting edge hypertext feminist scholarship is examined through an examination of Nicole Brossard's use of Virtual Reality as a feminist discourse in her novel Baroque at Dawn (Baroque d'aube) and Catherine Richards' body-based, real time art explorations in her Virtual Reality installation pieces entitled The Virtual Body and Curiosity Cabinet, at the End of the Millennium.

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)0.006
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.075
Scholarly communication0.0200.010
Open science0.0010.007
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.268
Teacher spread0.230 · 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

Citations4
Published2019
Admission routes3
Has abstractyes

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