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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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; both teacher heads agree on what is shown here.
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".