NECİL KAZIM AKSES’İN BESTECİ VE EĞİTİMCİ KİMLİĞİ İLE 1. VE 4. YAYLI ÇALGILAR DÖRTLÜSÜ ÜZERİNE İNCELEME
Bibliographic record
Abstract
heard Alois Haba was teaching quarter tones and one-sixth tones. It is something similar to our maqam structure. If I learn his technique, I can combine it with my knowledge and find a new way. having these in mind, Necil Kazim Akses, who registered to the Prague Conservatory with his own decision, created a wide range of colors in his compositions. He set out with an understanding that emerged in France, seeking a freer, simpler and purer voice in contrast to the romanticism of the previous era, and was influenced by the impressionistic movement in music pioneered by Claude Debussy. Necil Kazim Akses, one of the most important representatives of Contemporary Turkish Music, was the youngest member of the group called “The Turkish Five in the years when the republic was established.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 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) | 0.015 | 0.006 |
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".