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Record W2282766690

Introduction à la pragmatique des effets génériques: l’horreur dans tous ses états

2010· article· fr· W2282766690 on OpenAlexaff
Dominic Arsenault

Bibliographic record

VenueLoading... · 2010
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Cet article pose les jalons d’une nouvelle approche théorique de la question du genre, la pragmatique des effets génériques. Cette approche permet de résoudre les problèmes qui découlent du phénomène de l’hybridité générique, une difficulté qui limite l’analyse formelle d’objets culturels d’un point de vue générique. Ce nouveau paradigme donne la primauté non pas au texte comme objet fini, mais à l’expérience de son parcours par un lecteur/spectateur/joueur. Pour la pragmatique des effets génériques, le genre s’exprime dans des effets génériques qui se manifestent ponctuellement à travers la séquence sémiotique d’un objet culturel, que le lecteur/spectateur/joueur peut reconnaître et qui modulent à la fois son horizon d’attentes et sa compréhension cognitive de l’objet. La pertinence et les ramifications de cette approche sont démontrées à l’aide d’une étude de cas qui porte sur le genre vidéoludique du survival horror. Celui-ci est déconstruit en ses deux composantes, soit le genre thématique de l’horreur et le genre ludique du survival. Chacun est étudié à travers deux jeux, Resident Evil et Diablo, respectivement emblématique et étranger au genre. Néanmoins, l’analyse des éléments formels et de la jouabilité de Diablo du point de vue expérientiel démontre que ses mécaniques de jeu et sa structure donnent lieu à des effets d’horreur et de survival qui, bien que non prioritaires, ne peuvent être écartés d’une analyse sans risquer de dénaturer l’objet. *** This paper lays the foundations of a new theoretical approach to genre, the pragmatics of generic effects. This approach allows us to solve the problems caused by the phenomenon of generic hybridity, a difficulty that limits formal analysis of cultural objects from a generic standpoint. This new paradigm places emphasis not on the text as a finite object, but rather on the experience of its traversal by a reader/spectator/player. In the pragmatics of generic effects, genre expresses itself through generic effects that manifest themselves punctually throughout the semiotic sequence of a cultural object, which the reader/spectator/player can recognize and that modulate both his horizon of expectations and his cognitive understanding of the object. The pertinence and ramifications of this approach are demonstrated by way of a case study of the survival horror video game genre. The genre is broken down into its two components, the thematic genre of horror and the game genre of survival. Each is studied through two games, Resident Evil and Diablo, respectively emblematic of and a stranger to the genre. Nevertheless, the analysis of Diablo’s formal elements and gameplay shows that its game mechanics and structure give way to horror and survival effects that, while ancillary, cannot be ignored by an analyst without denaturing the object. This issue was generously supported by the Social Sciences and Humanities Research Council (SSHRC) and published in partnership with Ludiciné.

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)0.004
metaresearch head score (Gemma)0.012
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 score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.018
Scholarly communication0.0110.013
Open science0.0020.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0220.003

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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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