Bibliographic record
Abstract
Modern western music has strong individual characteristics. Therefore it also becomes the music of very few people. Music composer Jin Xiang onces said, modern western music was a devil in the bottle, let out by the fisherman. So, how does the “devil” survive and develop in modern time? What is the value of its existence? And where is it heading? This thesis is trying to answer these questions. Key words: modern music of Western,creation and development,existence value,development trend Resume La musique moderne occidentale a de fortes caracteristiques individuelles. Cependant, elle devient aussi la musique de peu nombreux de population. JIN Xiang, le compositeur a dit une fois : la musique moderne occidentale etait « un monstre » qui s’enfuit de la bouteille par le pecheur. Donc, comment le monstre survit et se developpe a l’epoque moderne ? Quelle est la valeur de son existence ? Et ou se trouve sa destination ? Cette these essaie de repondre a ces questions. Mots-cles : la musique moderne occidentale, creation et developpement, valeur d’existence, tendance de developpement 摘 要 西方現代音樂是極具個性化的音樂，與此同時它也就成為了少數人的音樂。作曲家金湘曾說，西方現代音樂是漁夫從瓶中放出的“魔鬼”。那麼，這個僅得到少數人支持而一直存活到今天的“魔鬼”，它是怎樣產生和發展起來的？它又有著怎樣的存在價值？最終，它會去向何方？等問題是本文試圖探討的重點。 關鍵詞： 西方現代音樂；產生與發展；存在價值；發展趨勢
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".