Bibliographic record
Abstract
This presentation will demonstrate how lanza 1 teaches his students though composition.Information gathered from lanza's former students, will show how his compositions taught and inspired them.By teaching his students to be individual, independent, artistic, creative, and playful he inspired many generation of Canadian composers.Through a detailed study of lanza's un mundo imaginario, this presentation will illustrate the challenges faced when preparing a graphic score, working with computer generated sounds, and most importantly telling a meaningful story to the listener.Argentinean-born, Canadian composer, alcides lanza, began studying music theory, counterpoint, and piano at the age of nine.Upon finishing high school, he began studying architecture at the University of Rosario, but he cut his studies short to become a musician.lanza then moved to Buenos Aires where he studied composition and became intrigued with electro acoustic music.In 1964, the Institute di Tella in Buenos Aires opened an electro acoustic music studio, but lanza was looking for more.He moved to New York in 1965 to study at the Columbia Princeton Electronic Music Centre.In 1970, lanza became director of the electro acoustic studies of McGill University.Since moving to Montreal, lanza has become known as a talented teacher and composer.His works with Group of the Electronic Music Studio (GEMS) at McGill University and his personal attention to each of his composition students, and the student body at large, demonstrate his dedication to the guiding of young musicians and composers. alcides lanza, BiographyComposer alcides lanza was born into a musical family on June 2, 1929, in Rosario, Argentina.lanza's father, Antonio, was a conductor and guitarist with an Argentinean tango group in their hometown of Timbues.When lanza was nine years old, his father won the lottery and offered his two sons their choice of gifts.The older son, Edgardo, chose a bicycle, while the youngest, alcides, chose a piano.This was the beginning of lanza's career as a musician.Though lanza was a very active child, in 1933, he was stricken with a kidney disease and was not permitted to practice sports for the following nine years.As a result, lanza became very interested in both music and visual art, which may be the root of his passion for beautiful graphic scores.At the age of nine, lanza left his family and moved to Rosario to live with his uncle, a famous author and playwright.During his time with his uncle, lanza studied music theory, counterpoint, and piano.Upon finishing high school, he began his studies in architecture at the University of Rosario; however, he cut his studies short to become a musician.After moving to Buenos Aires to study composition with the famous Spanish composer, Julian Bautista, lanza began exploring various compositional techniques and styles.Studying
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".