Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.006 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".