Marche Triomphale: A Forgotten Musical Tract in Qajar-European Encounters
Bibliographic record
Abstract
Abstract This article introduces Julius Heise’s Marche Triomphale which reveals a history that was eliminated during the nineteenth century race theory publications. Beginning with an account of Iranians’ encounters with European military music, this article provides a brief history of Iranian military bands in European style, or the bands of muzikānchiān. It then addresses racial motivations behind a short account on Iranian music in 1885 by Victor Advielle, a French administrator. Arthur de Gobineau’s race theories were fashionable in nineteenth century Europe, and Victor Advielle used his fellow Artesian, Alfred Lemaire, to prove their racial superiority. Through Advielle’s account, Lemaire became the main figure of European music in Iran in the last quarter of the nineteenth century. The article proceeds with biographical information on two European musicians, Marco Brambilla (d.1867 in Tehran) and Julius Heise (d.1870 in Tehran), and uncovers the earliest known piece published for the bands of muzikānchiān: Marche Triomphale, À Sa Majesté Impériale Nassir-Ed-Din Shah Kadjar de Perse.
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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 | 0.002 | 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 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".