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Record W4293072841 · doi:10.16995/dscn.8105

The Computational Fallacy: A New Model for Understanding the Role of Computers in Humanities

2022· article· en· W4293072841 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Studies / Le champ numérique · 2022
Typearticle
Languageen
FieldComputer Science
TopicComputability, Logic, AI Algorithms
Canadian institutionsnot available
Fundersnot available
KeywordsFallacyHumanitiesComputationComputer sciencePhilosophyEpistemologyAlgorithm

Abstract

fetched live from OpenAlex

The paper tries to counter some misassumptions about the computer and computation especially in relation to humanities and human behavior and they amount to what the author calls “the computational fallacy. The paper discusses a number of points such as the physiology of the computer, the Etymology of basic terms in the field, and the current approaches especially in mainstream digital humanities which reduce computation to a set of “tools”. The paper then proceeds to discuss some counter arguments such as rethinking the notion of programmability which should substitute “calculation” as the core of computation, considering the transformative nature of the computer and its media using the ideas of some theorists like Manovich and Drucker, and some new approaches that view computation differently like Computational Thinking, Algorithmic criticism, and Speculative computing.Cet article essaie de contrer quelques suppositions erronées sur l’ordinateur et la computation, plus particulièrement leur relation aux sciences humaines et au comportement humain qui équivaut à ce que l’auteur appelle « the computational fallacy » ou l’erreur computationnelle. Cet article aborde de nombreux points, tels que la physiologie de l’ordinateur, l’étymologie de termes de base dans ce domaine, ainsi que les approches courantes, particulièrement les approches dominantes dans les humanités numériques qui réduisent la computation comme un ensemble « d’outils ». Ensuite, l’article poursuit en discutant les contre-arguments comme les nouvelles réflexions des notions de programmation qui devraient substituer le calcul au cœur de la computation, considérant la nature transformante de l’ordinateur et ses médias utilisant les idées de quelques théoristes dont Manovich et Drucker, et quelques nouvelles approches qui voient la computation différemment comme « Computational Thinking » ou la pensée computationnelle, « Algorithmic criticism » ou la critique algorithmique et « Speculative computing » ou la computation spéculative. 

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.071
GPT teacher head0.265
Teacher spread0.195 · 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