La iconografía prehispánica, un referente en el street art y el graffiti contemporáneo
Bibliographic record
Abstract
Resumen Luego de problematizar en los conceptos de la Escuela de Toronto sobre comunicacion de masas, caso concreto Marshall Mcluhan, se comprende la dimension visual del espacio urbano como un campo de interaccion y conflicto de los mensajes visuales y las formas simbolicas surgidas desde los grupos favorecidos y las clases subordinadas. Frente a la profusion de anuncios surgidos de la industria cultural, la apropiacion de estereotipos de la cultura de masas, asi como de la iconografia prehispanica y su valor cromatico, son una constante en el Street art en Mexico y en ciudades norteamericanas que reciben su migracion, su estudio y reconocimiento como enunciado visual con una poetica especifica, puede enriquecer los procesos creativos en el diseno grafico nacional. Palabras clave Industria cultural, globalizacion, Street art , iconografia, prehispanico, Graffiti Abstract After problematizing the Toronto School mass communication concepts, specifically Marshall McLuhan, the visual dimension of urban space is understood as a field of interaction and conflict of visual messages and symbolic forms arising from the favored groups and the subordinate classes. Faced with the profusion of emerging cultural industry ads, the appropriation of stereotypes of mass culture, prehispanic iconography and color value, are a constant in the Street art in Mexico and in American cities receiving their migration, its studio and visual recognition as a specific poetic utterance, might enrich the creative processes of the national graphic design. Keywords: Semiotics – Color - Languages - Syncretism
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".