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Record W4391138372 · doi:10.4000/books.pulg.26449

Les jeux vidéo d’histoire : le passé comme terrain de jeu

2023· book-chapter· fr· W4391138372 on OpenAlexaff
Julien Bazile

Bibliographic record

VenuePresses universitaires de Liège eBooks · 2023
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

1. Introduction Les jeux vidéo d’histoire « représentent, relatent ou font usage du passé » au travers de leur contenu (Chapman, 2016, p. 8 – 10). Leur spécificité ne tient pas tant au type de jouabilité qu’ils proposent qu’aux types d’univers dans lesquels s’ancrent leurs fictions : des univers historiques. En dépit de leur diversité, on peut aujourd’hui brosser un portrait général de cette catégorie de jeu vidéo. Du point de vue du nombre de publications par an, les jeux vidéo d’histoire c...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.050
GPT teacher head0.257
Teacher spread0.207 · 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
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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