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Record W4281486669 · doi:10.32920/ifmj.v2i2.1573

Hybridity and Agency in Interactive Comic Books

2022· article· en· W4281486669 on OpenAlexvenueno aff
Özge SAYILGAN

Bibliographic record

VenueInteractive Film and Media Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsComicsInteractivityAdventureAgency (philosophy)Digital mediaMultimediaComputer scienceVisual artsAnimeComic stripWorld Wide WebArtSociologyArtificial intelligence

Abstract

fetched live from OpenAlex

This paper focuses on interactive and animated comic books as visual storytelling medium. With the rise of digital media, previous forms and methods of storytelling has been changed and reformed in hybridity and/or as emerging medium. Like movies, documentaries, games; comic books gained digital, moving, and interactive levels to be described and examined. This research aims to analyze interactivity maps to reach forms of interactivity used in selected comic books as examples representing emerged types of this media under various names such as motion comics, interactive comics, hyper comics, interactive game comics and web comics. As Goodbrey (2007) states different types of comics in the scope of hybridization and digitality of the medium, a distinction between levels of interactivity in video games is offered in digital game theory. Digital types of comic books are not all interactive in the sense of content and may be more linear than a printed “choose your own adventure” comic book like Eight Grade Witch (Gaska et. al, 2021). With digitality of the medium, interactivity is set firstly in form providing an agency for the interactor by turning the pages or making the reader click on pages. Some examples, such as web comics expands the medium to develop an interactivity between text and audience; some of them became more interactive providing more agency on the page; some are interactive in content and others converge comics books with games and redefine the medium with play at the center. Main question guiding the research is how they provide different forms of interactive of storytelling. Meanwhile: An Interactive Comic Book (Zarfhome Software, 2018), Framed (Noodlecake Studios, 2014), Florence (Mountains Studio, 2018) and Our Plague Year (Burton, 2022) are selected examples representing different forms of digital comic books and interactive – sequential storytelling to be analyzed comparatively within the scope of this research. In conclusion interactivity forms and maps are exposed and discussed through Sheldon’s interactivity categories. The epistemology of interactivity is reconsidered with an analysis of interactive and animated comic books which combine various media and provide distinct ways of hybridity.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0050.012
Scholarly communication0.0170.008
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.020
GPT teacher head0.301
Teacher spread0.282 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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