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Record W4405278458 · doi:10.4000/12w6w

“Making Noise” with Comics: An Interview with Argentine Author, Artist, Singer, and Song Writer, Isol

2024· article· en· W4405278458 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueComicalités · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsComicsArtVisual artsNoise (video)LiteratureSpeech recognitionComputer scienceImage (mathematics)Artificial intelligence

Abstract

fetched live from OpenAlex

The following interview with Marisol Misenta, known professionally as Isol, discusses a number of ways in which the award-winning author, musician, and occasional comics artist from Argentina brings together music, singing, and narration through images in what she calls “una poción para soñar” (a concoction to dream about). The interview focuses on the so-called “discomic” Novela gráfica (Graphic Novel), released in 2014 by the Buenos Aires-based band SIMA, for which Isol served as lead vocalist, but also touches on some of the Argentine artist’s more recent collaborative and interdisciplinary art projects and performances. Topics include patterns in the relationship between comics and sound, the role of the reader-listener in experiencing and experimenting with the hybridization of music and comics with the discomic object, and how together comics and music (and sound by extension) enhance the audience experience.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.967
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.309
Teacher spread0.195 · 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