“Making Noise” with Comics: An Interview with Argentine Author, Artist, Singer, and Song Writer, Isol
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.013 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".