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Record W2174426659

Time-play-space: playing up the visual in writing

2004· article· en· W2174426659 on OpenAlexaboutno aff

Bibliographic record

VenueFalmouth University Research Repository (FURR) (Falmouth University) · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)PoeticsTheme (computing)TemporalityRelation (database)Value (mathematics)PoetrySpace (punctuation)Visual artsLiteratureHistoryArtLinguisticsComputer sciencePhilosophyEpistemologyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

The article is a reflection of that aspect of Hall’s practice which brings a visual aesthetic to bear on a literary practice, produced after more than ten years of working with framed textual images as well as continuing to write for the page. It was commissioned by the editor for an issue of the journal with the theme of ‘Time: Tempo: Temporality’, particularly requesting Hall to address these topics in relation to his own visual poems. The article continues an exploration into a ‘poetics of reading’, already well underway with the article ‘Eluded Readings: trying to tell stories about reading contemporary poems’ (The Gig 15, Willowdale, Ontario, September 2003, pp. 35-54; a recording of a talk version is available at Archive of the Now: http://www.archiveofthenow.com/) and extended in ‘Reading Illegible Pages'. This enquiry particularly focuses on the different modalities of time between primarily textual and primarily visual domains, and the different understandings of both prosody and syntax that can be invoked to help understand a relationship between the two. Heidegger’s ‘Being and Time’ provides terms for some of the discussion. Hall assumes the value of close textual reading but insists that this needs to take into account the ‘situatedness’ of texts and readers, where ‘texts’ as a term includes visual images. Other contributors to the issue of the journal are poets and poet-critics, working on both sides of the Atlantic. They include Bruce Andrews, Allen Fisher, Jed Rasula and Maggie O’Sullivan.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.026
Scholarly communication0.0170.012
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.044
GPT teacher head0.269
Teacher spread0.225 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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