Bibliographic record
Abstract
THE NOSTALGIA OF HANNIBAL LECTER: A POSTMODERN REPRODUCTION OF DANTE ALIGHIERI’S EXILE AbstractIn this paper I shall argue that, in Ridley Scott's film Hannibal, Dr. Lecter's hiding could be interpreted as a self-enforced exile which epitomises postmodern nostalgia in his attempt to re-create the medieval past into the present. By specifically analysing the "conference" scene of Scott's film, I shall demonstrate that Dr. Lecter's study of the figures of Judas and Pier della Vigna as well as of Dante's Inferno melancholically reflects upon his own exile from America. Specifically, I shall argue that Dr. Lecter's presence in the town of Florence is a reproduction and simultaneously an inversion of Dante's exile. Indeed, by referring to the recent critical works on the practice and experience of exile in the Middle Ages (in particular, during the Italian Renaissance), I shall establish a parallel between the medieval manifestations of exile and...
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.022 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".