Segno d’angeli e di vittoria in Fabrizio Lupo di Carlo Coccioli
Bibliographic record
Abstract
Il contributo focalizza l’attenzione su Fabrizio Lupo e in particolar modo sulla declinazione del concetto di “segno,” pervasivo sin dall’incidenza della vicenda biblica di Tobia e l’angelo, di cui si evidenziano le occorrenze manifeste e latenti nell’opera. L’attenzione all’elemento scritturale ma anche ad altri riferimenti letterari (Hesse, per esempio) e alla produzione coccioliana (in particolar modo Il cielo e la terra) consente di riflettere sull’uso delle fonti da parte dello scrittore livornese e su immagini e tematiche ricorrenti nella sua opera. Emerge l’importanza del motivo del “riconoscimento” nell’amore omoerotico, fattore che determina il passaggio dalla “confusione babelica” all’angelicismo e all’unicità dell’amore, rispetto al quale i molteplici amori precedenti costituirebbero, in una prospettiva figurale, umbrae futurorum. Insiste nel testo anche la matrice gidiana nella presenza di figure di “falsari” nei personaggi di Keller, Munari e William T.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".