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Record W2342715588

Scott Pilgrim vs. the Multimodal Mash-up: Film as Participatory Narrative

2015· article· en· W2342715588 on OpenAlexaboutno aff
Amy C. Chambers, RL Skains

Bibliographic record

VenueBangor University Research Portal (Bangor University) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeComicsAppropriationCitizen journalismSemioticsParallelsPilgrimAestheticsArtWrightParticipatory cultureMedia studiesSociologyVisual artsLiteratureHistoryArt historyComputer scienceLinguisticsPhilosophyEngineeringWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

This paper examines Scot t Pilgrim vs. The World (Wright, 2010) as a multimodal text, exploring the ways in which the film�s appropriation of aesthetic, semiotic, and narrative tropes from graphic novels and early graphic videogames invites the audience to participate in the narra tive, even while it is delivered through the physically passive, deinteractivating medium of film. Intertextual references to the popular culture of the Gen X era (1980s/90s) abound, evoking emotional responses from a generation that formed, in part, aroun d 8 - bit videogames and comics. The graphic images trigger a participatory engagement through the parallels with the highly interactive medium of videogames, and again forms a nostalgic connection with the audience. In combining media genres and communicati ng through these references to more participatory media, the film�s alternate Toronto becomes more than a secondary world; it becomes a virtual world created in part by the audience�s cognitive participation.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.145
GPT teacher head0.305
Teacher spread0.159 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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