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Record W4289337210 · doi:10.1177/15554120221115393

An “Alternative to the Pen”? Perspectives for the Design of Historiographical Videogames

2022· article· en· W4289337210 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGames and Culture · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHistoriographyArgument (complex analysis)Perspective (graphical)Computer scienceSelection (genetic algorithm)EpistemologySociologyArtificial intelligencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This article presents how the tools of videogame design can be used to convey historical arguments, and to what extent historians could benefit from creating such videogames. We begin by positioning our argument within the literature on the writing of history, linking it to formal and writing issues, which leads us to delve into various definitions of what “videogames for history” could be, and what operational frameworks could be derived from those definitions. We then confront some key principles of design to a selection of actual videogame projects to discuss the possibility of “historiographical game design” to be considered as “an alternative to the pen” (Chapman, 2013, p. 329) for historians. Our goal is to identify general principles in the design of historiographical videogames, to provide an improved and refined definition of these games from a design perspective and to formulate general guidelines to inform further explorations through research-creation projects.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.023
GPT teacher head0.300
Teacher spread0.277 · 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