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Record W4414288779 · doi:10.4000/14ole

L’esthétique percussive de la Famicom et de la Nintendo Entertainment System de 1983 à 1987

2025· article· fr· W4414288779 on OpenAlexaff
Joseph T. Chang

Bibliographic record

VenueSciences du jeu · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsMcGill University
Fundersnot available
KeywordsTimbrePercussionSound recording and reproductionVideo recordingMusical instrument

Abstract

fetched live from OpenAlex

Cet article explore l'évolution de l'orchestration des percussions dans la musique composée pour la console Nintendo Entertainment System entre 1983 et 1987. Le canal de bruit de la NES est utilisé pour créer des effets sonores et des sons de percussion, et ses spécifications techniques sont bien documentées dans les publications pertinentes. Cependant, la recherche n’a pas encore exploré la manière dont chaque compositeur et compositrice ont manipulé ce canal pour simuler des instruments de percussion individuels. L'observation du timbre et de la durée du bruit révèle leurs choix en matière d'instruments de percussion en fonction de leur style. Dix bandes sonores de jeux vidéo sont étudiées à l'aide de Sonic Visualiser, un outil efficace pour étudier le timbre des sons. Des observations techniques et historiques permettent de découvrir les particularités stylistiques musicales de chaque compositeur et compositrice pour les instruments de percussion.

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)0.002
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: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.007
GPT teacher head0.317
Teacher spread0.309 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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