MétaCan
Menu
Back to cohort
Record W4205555644 · doi:10.32920/ryerson.14657814

Gladiotron - 3D Interactive Comics as an Ideal Entry Point for Transmedia IP Development

2021· preprint· en· W4205555644 on OpenAlexaff
Gavin Ronald Nelson Ball

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsSeneca Polytechnic
Fundersnot available
KeywordsComicsAnimationMultimediaReuseComputer scienceVideo gamePoint (geometry)World Wide WebArtComputer graphics (images)EngineeringArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

Gladiotron is an online, interactive, 3D web-comic designed to test the efficacy of leveraging assets created for a 3D comic for reuse in other forms of media around the same intellectual property (IP), in this case a game, animation, and merchandise. The Gladiotron 3D web-comic exhibited advantages over basic storyboarding by increasing speed and efficiency of production between the comic and the game, audience growth potential, and opportunities for audiences’ feedback. This 3D web-comic model also demonstrates an alternative approach for developing video games and developing IPs. Keywords: WebGL, Babylon.js, web-comic, interactive, indie game development, marketing, production

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: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

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 studies0.0000.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.025
GPT teacher head0.327
Teacher spread0.302 · 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
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicDigital Games and MediaFrench-language works237,207