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Record W1842106346 · doi:10.4000/sdj.474

Le designer de jeux vidéo comme agent d’évolution à l’ère du jeu casual

2015· article· fr· W1842106346 on OpenAlexaff
Laureline Chiapello

Bibliographic record

VenueSciences du jeu · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesCasualPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Cet article propose de montrer l’importance des designers de jeux vidéo en tant qu’agents d’évolution des jeux. Il s’appuie sur une étude dont le but principal est de mieux définir les jeux dits « casual » en utilisant le savoir professionnel des designers de jeux vidéo. En documentant ce sujet, il est apparu que les pratiques des designers de jeux sont en pleine évolution. Étant donné le peu d’informations existantes sur le rôle de ces designers dans la littérature scientifique, il a semblé opportun d’approfondir ce sujet. Les résultats montrent la présence d’un phénomène intrigant : les problématiques liées au jeu casual semblent avoir un impact sur la façon d’envisager le rôle des designers de jeux. Or, ce rôle est déterminant pour notre compréhension de l’évolution des jeux vidéo.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.126
GPT teacher head0.329
Teacher spread0.203 · 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
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

Citations2
Published2015
Admission routes1
Has abstractyes

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