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Record W3208022268 · doi:10.52086/001c.29497

Fictocritical improv for a new author paradigm, or How to render the messiness of string figure research

2021· article· en· W3208022268 on OpenAlexaff
Henry Adam Svec, Zach Pearl

Bibliographic record

VenueTEXT · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMotleyString (physics)SociologyComposition (language)Computer scienceVisual artsEpistemologyArtLinguisticsLiteraturePhilosophyTheoretical physicsPhysics

Abstract

fetched live from OpenAlex

This paper explores the complexity of collaborative authorship in the humanities, proposing the string figure as a dexterous model with which to map connections amongst a broad network of contributors. Drawing on the recent work of Donna Haraway, in addition to post-structuralist thinkers like Roland Barthes, Gilles Deleuze and Félix Guattari, string figures (eg cat’s cradle) are rendered as adequately supple and striated to the diagramming of creative synergy. To this end the authors deploy fictocritical and experimental writing techniques, as well as images, probing the complexities of joint composition. Their text takes on the shape of a string game passed back and forth across a motley crew of agents and actors.

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)0.001
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 score0.776
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0050.000

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 head0.349
GPT teacher head0.443
Teacher spread0.094 · 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
Published2021
Admission routes1
Has abstractyes

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