‘Away, Away’: Franz Liszt's <i>Mazeppa</i> and the Bonds of Freedom
Bibliographic record
Abstract
Franz Liszt's symphonic poem Mazeppa (1854) recreates a narrative that portrays Cossack commander Ivan Mazeppa's torturous Ride – bound naked to an unbroken horse – to miraculous survival and triumph. To evoke this legend, Liszt incorporated familiar musical tropes: persistent galloping triplets, fanfares, apotheosis and a march-like finale. These tropes illustrate a consistent story, but they risk sounding merely clichéd and mimetic. To appreciate how Liszt uses these tropes to create depth and compositional creativity in Mazeppa requires consideration of the myth's intertextuality. This article considers the broader sources that informed Liszt's Mazeppa and offers an interpretation that includes the programme's preface and an array of Mazeppa ‘texts’ that have appeared since the mid-eighteenth century. These texts include a quasi-historical narrative, poetry and visual art along with Liszt's original commentary for Mazeppa and his defence of programme music in his Berlioz and His ‘Harold’ Symphony essay. Taking all of this together, my approach in this article is to analyse Mazeppa as if listening for the protagonist and letting the character of his musical subject inform my interpretation. Hearing the musical subject in this work requires attention to voice, expressivity, motives, gestures, themes and extramusical intertexts to construct, layer by layer, an interpretation of Mazeppa's symbolic significance. I argue that connecting these threads of cultural history illuminates the piece's theme of suffering and death as inescapable companions in the life of the creative genius.
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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 | 0.001 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".