I<scp>nside</scp> L<scp>uciano</scp> B<scp>erio</scp>'s S<scp>erialism</scp>
Bibliographic record
Abstract
ABSTRACT Like many other composers who later distanced themselves from serialism, Luciano Berio (1925–2003) embraced its principles in the 1950s and beyond. While Berio's early serial techniques from the Due pezzi of 1951 to Nones of 1954 are well known, his subsequent serial practice is still little understood for three principal reasons: in his writings and interviews Berio provided only limited information on his serial works; it is very difficult to decipher Berio's later complex serial techniques from the published scores alone; and only one sketch survives for any of his serial works from 1951 to 1958 (for Allelujah I, 1955–6). Following a brief examination of the integral serialism in Nones (whose principles have been known for some time thanks to an analytical note by Berio), the present study investigates the serial techniques deployed in the Quartetto per archi (1955–6) and Allelujah I. Berio's serial materials are reconstructed with the help of distributional analyses and from an historical angle that has been little explored thus far: the influence of Bruno Maderna (1920–1973), Berio's mentor and close collaborator at the Studio di fonologia musicale in Milan.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".