Where “the blood boils:” Hans Christian Andersen’s sojourn in Naples
Bibliographic record
Abstract
When in 1834, during his Grand Tour of Europe, Hans Christian Andersen set foot in Naples, he was immediately won over by the exuberant vitality of the Neapolitan people. The Parthenopean city, where he “was exposed to sensuality as a daily temptation” (Rossel, “Hans Christian Andersen” 24 and “Do You Know the Land” 95), also awakened Andersen’s more repressed instincts. From this experience he drew material for his most autobiographical novel, Improvisatoren (1835; The Improvisatore), whose protagonist tries to and succeeds in resisting the seductions of Neapolitan sensuality. If on the one hand the Danish author underwent the typical experience of the Northern traveller visiting the South and, more specifically, Naples, enjoying its openness and gaiety, on the other hand he never completely abandoned himself to Southern allures, upholding his moral and religious beliefs against a city that continuously attempted to wholly seduce him. The present paper aims to retrace Andersen’s first journey to Naples—where, by the writer’s own account, “the blood boils” (The Diaries of Hans Christian Andersen 85)—as a voyage into a tempting sensuality, contextualizing it within the wider context of nineteenth-century travelling experience in the city by Northern travellers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.017 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".