Von der Fuge in Rot bis zur Zwitschermaschine - Paul Klee und die Musik
Bibliographic record
Abstract
Paul Klee gehört nicht nur zu den prägendsten Malerpersönlichkeiten des 20. Jahrhunderts, sondern hatte auch eine starke Affinität zur Musik. So schrieb er unter anderem Musikkritiken, spielte als Amateur hervorragend Geige und verkehrte mit vielen Komponisten. Mit seinen Werken und seinen theoretischen Schriften wie den Unterrichtsmaterialien am Bauhaus inspiriert er bis heute zahlreiche Komponistinnen und Komponisten. Dieser Band präsentiert Texte über musikalisch beeinflusste und die Musik beeinflussende Werke Klees, insbesondere seine Beschäftigung mit Johann Sebastian Bach sowie die Rezeption seines gestalterischen Denkens im aktuellen Musikschaffen von Pierre Boulez bis Harrison Birtwistle. Bisher unbekannte Quellen, zahlreiche Abbildungen und Neuinterpretationen verhelfen dabei zu neuen Sichtweisen.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 0.013 |
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".