Industria cultural y creatividad urbana en América del Norte: Una evolución comparativa de la música popular en vivo en Ciudad de México y Montreal
Bibliographic record
Abstract
Después de haber dibujado un panorama general de la industria norteamericana de la música en vivo en la era digital, el artículo trata del vínculo entre la creatividad urbana y la industria de la música en vivo en dos ciudades: Ciudad de México y Montreal. En una etapa inicial, las dos ciudades privilegiaron una visión modernista y monumental de la música en vivo. Sus escenas musicales locales se desarrollaron principalmente a la luz de la desindustrialización y de ciertas crisis económico-políticas. En el caso de Montreal, se convirtieron en un verdadero pilar de la conversión en “ciudad creativa”, mientras que en Ciudad de México permanecieron principalmente relegadas a la clandestinidad, aplastadas por los actores hegemónicos y los problemas estructurales (corrupción, narcotráfico, desigualdad), salvo en el contexto inicial de las redes sociales digitales.
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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 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".