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Record W4414288804 · doi:10.4000/14ola

Quand le jeu vidéo s’intéresse à l’expérience musicale : la représentation de la musique dans les jeux de Supergiant Games

2025· article· fr· W4414288804 on OpenAlexaff
Laura Iseut Lafrance St-Martin

Bibliographic record

VenueSciences du jeu · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsVideo gameGame studiesSocial hierarchyPost modernism

Abstract

fetched live from OpenAlex

Les jeux de Supergiant Games sont reconnus pour la qualité de leur musique. Néanmoins, le travail du studio dépasse la qualité esthétique de la composition : la musique est incluse dans leurs Mondes Secondaires et mise en relation avec ses éléments constitutifs. Nous explorons comment le traitement de la musique dans les quatre jeux de Supergiant Games leur permet de réfléchir aux rôles que celle-ci joue dans le rapport au monde. À l’aide de l’approche des Mondes Secondaires de Tolkien et de la théorie de la résonance de Rosa, nous montrons que les structures de monde sont signifiantes en elles-mêmes. En positionnant la musique en tension entre sa disponibilité et son indisponibilité, le studio la met en lien avec la mémoire, le social et le spirituel, connectant ainsi les personnages ainsi que les joueur·euses au monde d’une manière signifiante et résonante.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.999

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 studies0.0020.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.283
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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