Nostalgia and the Mal de Paris: Composing the City–Country Duality
Bibliographic record
Abstract
Abstract Starting in the 1830s, French musicians began to fully engage with the concept of nostalgia as an affective category and as a musical trait. The deliberate artistic process of naming music and musical works as ‘nostalgia’ contributed to the demedicalization of the term while transforming its original meaning as homesickness into a spectrum of spatiotemporal emotions. Musical renditions of nostalgia also displaced expressions and discussions of this emotion away from the countryside, where it had originally been rooted, towards the city. Musicians thus directly participated in the transformation of nostalgia into a commodity, a fashionable product that could be purchased in music stores, experienced firsthand in entertainment venues, and tailored to the needs and desires of an urban population. This article traces the shift in the evocation of nostalgia in music and the musical press during the nineteenth century in Paris, where it became most prevalent in dozens of vocal romances and instrumental pieces. The compositions that I analyse, rather than forming a unified depiction of the city, offer a range of sonorous and thematic ideas that provide a more comprehensive understanding of the place nostalgia played in the imagination of an urban population increasingly conscious of its artistic value and impact. I thus uncover three main stages in this shift, which show how successive generations of musicians, influenced by different attitudes to urbanity, conceived nostalgia. I investigate why composers drawn to nostalgia were attracted to certain types of musical and formal models, what these choices reveal about their understanding of nostalgia and its purpose, and, more importantly, what this musical nostalgia sounded like. This article provides the first overview of works that deliberately use nostalgia as an explicit topic across genres and generations in nineteenth-century Paris.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".