Bibliographic record
Abstract
In the Ancient Greco-Roman world, Dionysus was the deity to call upon for all things relating to intoxication, ritual madness, and religious ecstasy. Living firmly in the realm of festivity and celebration, he appears to be a one-dimensional pleasure deity. But what if Dionysus was more than simply the god of parties? I propose the potential therapeutic value of Dionysian (ecstatic) music by applying both ancient and modern interpretations to close readings of Ancient Greco-Roman mythological texts. In section one, I define Dionysian music against its more demonstrably therapeutic Apollonian counterpart, drawing from a variety of Ancient writers including Homer, Euripides, and Ovid. While this section emphasizes negative psychological effects of Dionysian music, section two argues that the mythical hero-musician, Orpheus, links Apollo to Dionysus and thus suggests the therapeutic potential of Dionysian music. I further this argument in section three through a discussion of how Dionysian music can be interpreted by Plato, Aristotle, and modern psychologists as therapeutic due to its ability to both express and regulate emotions. I conclude that although Dionysus does not belong amongst modern music therapists, his presence is certainly at home in modern theories of music therapy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".