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Record W2021544662 · doi:10.7202/1024772ar

Livre et jeu vidéo

2014· article· fr· W2021544662 on OpenAlexvenueno aff
Fanny Barnabé, Björn‐Olav Dozo

Bibliographic record

VenueMémoires du livre · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Ce numéro de Mémoires du livre / Studies in book culture explore un domaine encore peu étudié pour lui-même : les rapports entre livre et jeu vidéo. Ceux-ci sont généralement inclus dans des études intermédiatiques plus larges, mêlant différentes approches sans se focaliser sur les liens – pourtant nombreux, comme le présent dossier le montre – qui se tissent spécifiquement entre ces deux médias. Il faut dire que le déséquilibre de légitimité entre ceux-ci tend à compliquer l’analyse, car le regard qu’une certaine culture lettrée porte généralement sur le jeu vidéo le cantonne dans un rôle de loisir de masse qu’il est de bon ton d’ignorer (comme la bande dessinée avant lui dans les années 1980 et 1990 et les « mauvais genres » paralittéraires encore avant). La question de la légitimité traverse d’ailleurs en filigrane ce dossier.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.003

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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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 designNot applicable
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

Citations1
Published2014
Admission routes1
Has abstractyes

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