C<scp>harting</scp><i>M<scp>émoriale</scp></i>: P<scp>aradigmatic</scp> A<scp>nalysis and</scp> H<scp>armonic</scp> S<scp>chemata in</scp> B<scp>oulez</scp>'<scp>s</scp> ... <i><scp>explosante</scp>‐<scp>fixe</scp></i> ...
Bibliographic record
Abstract
ABSTRACT Pierre Boulez's 1985 composition Mémoriale (... explosante‐fixe ... originel), for flute and eight other instruments, is in many ways typical of the composer's later style, for instance encompassing highly thematic writing, an accompanimental texture which might be likened to ‘unplugged’ electronics, segmentation into clear harmonic fields and transparent formal articulation. Following a paradigmatic analysis of the flute part (which derives from the application of a software tool developed in part by the author at IRCAM), this article addresses the salient features of the work through a series of explanatory charts. A fundamental distinction drawn between polar notes and appoggiatura embellishment subsequently exposes a relatively uncomplicated harmonic structure based on six transpositions of a basic six‐note cell. Additional examination of durational structure in turn reveals an underlying compositional system firmly rooted in the serial tradition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.128 | 0.034 |
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".