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Record W4200124991 · doi:10.32920/ifmj.v1i2.1497

Nonlinearity, Multilinearity, Simultaneity

2021· article· en· W4200124991 on OpenAlexvenueno aff
Florian Hadler, Daniel Irrgang

Bibliographic record

VenueInteractive Film and Media Journal · 2021
Typearticle
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsnot available
Fundersnot available
KeywordsSimultaneityNarrativeContext (archaeology)Reading (process)Computer scienceAvatarHypertextWorld Wide WebHuman–computer interactionArtLinguisticsLiteraturePhysicsPhilosophyHistory

Abstract

fetched live from OpenAlex

This paper addresses three paradigms in epistemological structures that could serve as preliminary classifications enabling a systematic approach to past and current media phenomena such as hypertext, diagrams and ubiquitous computing. Nonlinearity is discussed by Vilém Flusser in the context of "technical images." In his own approach to go beyond linear text, Flusser and his publisher created a digital version of his book Die Schrift on a floppy disk (1987), enabling the reader to jump between chapters or to rewrite the text. Multilinearity is a concept that is revived within the diagrammatology discourse, transcending linearity through topographical ways of reading. Current examples can be found in arts and narratives such as Chris Ware's comics, who uses diagrammatics to blur the lines between the reader and the author. Simultaneity as a technological attribute is essential to current ubiquitous and pervasive technologies and services and draws heavily on Heideggerian concepts such as readiness-to-hand and background. In this epistemological shift, the information is instantaneously organized according to the user's needs. Each of these epistemological structures offers a different idea about receiving and creating knowledge, information and communication, paving the way for narrative and media strategies that are more and more determined by a 'reader' becoming a 'user' and a 'text' becoming a 'service.' Image Credit: Chris Ware’s Diagram on the interior of the dust-jacket from Jimmy Corrigan, The Smartest Kid on Earth.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.021
Scholarly communication0.0060.015
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.024
GPT teacher head0.326
Teacher spread0.303 · 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 designTheoretical or conceptual
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

Citations3
Published2021
Admission routes1
Has abstractyes

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