Bibliographic record
Abstract
This dissertation consists of two parts. The first and main part is the score of L 'entreprise de seduction, a 22-minute work for solo cello and instrumental ensemble [1011, 1010, percussion (1 player), piano, 2111], along with a recording on compact disc. The second part is an accompanying analytical text about the work. In the text, after a short description of the project, of its objectives and original contribution, we discuss the theoretical basis of my compositional approach. This approach stands on the fundamental structural independence of poiesis and esthesis, and leads to a musical aesthetics favouring formal transparency and seeking an active listening attitude. Two sets of compositional techniques are then introduced: techniques using the 12-tone row and techniques based on chance operations. We observe that those techniques all endeavour to balance systematicism and intuition to the greater profit of musical expression. We then proceed to a detailed analysis of L 'entreprise de seduction revealing its main musical material and processes. The text concludes with a few overall comments and by a discussion of the possible impact of this composition on my future projects.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".