Bibliographic record
Abstract
Musik gilt landläufig als Sprache des Gefühls.Und sicherlich geht es auch der Neuen Musik darum, neue Ausdruckswerte zu finden, statt eingeschliffene Ausdruckwerte im Rahmen eines erfolgversprechenden Schemas lediglich zu reproduzieren.Darin kann ein genuin produktiver Aspekt der Neuen Musik gesehen werden.Es griffe jedoch zu kurz, den Anspruch Neuer Musik ausschließlich im Emotionalen zu verorten; andererseits wird eine Reduktion auf reine Rationalität der Neuen Musik auch nicht gerecht.Als Praxis stellt sie eine Form sich musikalisch artikulierender Vernunft und daher musikalischer Phronesis 1 dar.Sie fragt 1 Der Begriff der Phronesis bedeutet übersetzt soviel wie praktische Klugheit und meint hier -im Sinne Aristoteles -den Versuch, einen abwägenden und beratenden Umgang mit der Kontingenz zu finden.Der hier zu Grunde gelegte
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.291 | 0.258 |
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".