Bibliographic record
Abstract
Augusto Mora es historietista y disenador grafico. [1] Nacido en Mexico de una familia integrada por un padre profesor universitario y una madre historiadora, resulta facil suponer la temprana formacion de Augusto Mora a la sombra de la biblioteca familiar. En sus trabajos artisticos, el asume todos los roles, autor de la historia, dibujante y colorista. Importa senalarlo porque esta triple tarea imprime un sello particular a sus libros. Ganador en 2010 del Primer premio otorgado por la Editorial Jus a la mejor novela grafica, Mora ha publicado seis novelas: “Cosas del Infierno”, MQ comics (2005). “El Mazio, la maldicion del Vastago”, Editorial Jus (2010), “Muerte Querida”, Editorial Caligrama (2012), “Tiempos Muertos”, Editorial Resistencia (2012), “Grito de Victoria”, MQ Comics (2013) y “Fuertes Declaraciones: Diario de un presidente”, MQ Comics/animal grafico. (Muertequerida.com) Sus trabajos son definidos por el mismo como periodismo en historieta. Esta entrevista encara con el diversos aspectos de su creacion, asi como los alcances de dicha definicion. [1] Ver http://muertequerida.com/augustomora_ilustrador/
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".