Música y medios de comunicación: en torno a Glenn Gould (1932-1982) Música y medios de comunicación: en torno a Glenn Gould (1932-1982)
Bibliographic record
Abstract
Glenn Gould (Toronto,1932-82) fue una de las figuras artísticas más importantes de Canadá en el siglo XX. A 25 años de su muerte se conmemora no sólo a un gran virtuoso del piano; también a un actor social relevante, que contribuyó a la redefinición de la experiencia musical culta a partir del poder de las nuevas tecnologías en la sociedad contemporánea. Su vida y obra crítica guarda una estrecha relación –implícita o explícita– con otros importantes pensadores de su tiempo, como Marshall McLuhan, Theodor W. Adorno, Max Horkheimer y Walter Benjamin. Todos ellos involucrados en reflexionar sobre el devenir de la obra de arte en la era de la reproducción industrial y de la cultura de masa. Glenn Gould (Toronto,1932-82) has been one of the most important artistic personality of Canada in the twentieth century. Twenty five years after his death, we commemorate not only a great virtuoso of the piano but also an outstanding social actor who contributed to redefine the musical experience considering the power of mass medias in the contemporary society. His life and critical writings keep a link –implicit or explicitly– with others important thinkers of his time like Marshall McLuhan, Theodor W. Adorno, Max Horkheimer and Walter Benjamin, all of them involucrate in the process of redefinition of the work of art in the industrial reproduction era and mass culture.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".