Narratives of Murder and Knowledge: Pellegrino Artusi and Dante Alighieri as Sleuths
Bibliographic record
Abstract
Using McHale’s notions of “epistemological” and “ontological” dominants, this article analyzes three historical crime novels that have real historical characters as their protagonist: Marco Malvaldi’s Odore di chiuso (2011), featuring Pellegrino Artusi as the detective, and Giulio Leoni’s I delitti del mosaico (2004) and La crociata delle tenebre (2007), with Dante Alighieri as the sleuth. The article shows how the hybridization of crime fiction, history, and biography may be a fertile ground for the representation of the different ways of “knowing” in their respective historical periods and the construction of a dialogue between past and present constructed around depictions of social and political diversity, language issues, and ideas of “Italy.”
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".