Bibliographic record
Abstract
For modern dance that plays the role of the motive power of aesthetics through the creative spirit, the dance major student’s physical expression ability is important. To present the grounds for this, in this research, the performance according to modern dance major students’ alexithymia was predicted. In order to do this, the data collected from 273 modern dance major students who were majoring in modern dance in the universities in the Seoul metropolitan area were analyzed and the results of the analysis are as follows. First, in the modern dance major students’ alexithymia scale, the variables, which can only distinguish between the factors that make it difficult to distinguish between emotion and physical sensation and the factors of extroverted thinking, were selected. Second it was found that the modern dance major students’ alexithymia scale explains 95.6% of the performance. Third, superior modern dance major students’ beginning motive, career, dance career, and practice frequency showed statistical differences in the factors that make it difficult to distinguish between emotion and physical sensation, and dance career showed significant differences in the extroverted thinking factor.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".