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Record W1533087994 · doi:10.33137/q.i..v29i2.8457

I "Peli" della <i>Gatta Cenerentola di</i> De Simone e del <i>Cunto de li cunti di</i> Basile. Una parodia dell'illustre don Benedetto Croce

2008· article· it· W1533087994 on OpenAlexvenueno aff
Pasquale Sabbatino

Bibliographic record

VenueQuaderni d italianistica · 2008
Typearticle
Languageit
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Nel corso del presente intervento si pone l'attenzione sul profondo e prolifico legame letterario che intercorre tra il drammaturgo novecentesco Roberto De Simone e lo scrittore seicentesco Giovanbattista Basile. In questo senso si evidenziano tre tappe salienti. De Simone debuttò nel 1976 al Festival dei due Mondi di Spoleto con un'opera intitolata La gatta cenerentola chiaramente inspirata alla favola di Basile, nel 1989 pubblicò la traduzione dall'antico napoletano in dialetto moderno della raccolta Il Pentamerone ovvero Lo cunto de li cunti trattenimento de piccerille (Napoli, ed. Il Mattino), mentre del 2002 è la doppia riscrittura, in dialetto e in italiano, del Cunto de li cunti di Basile (Torino, Einaudi). L'analisi, in particolar modo, di quest'ultima opera permette, inoltre, di sottolineare il forte intento parodico di De Simone nei confronti di Benedetto Croce. Nell'anno del cinquantesimo anniversario della morte del filosofo abruzzese, De Simone decide di inserire nella propria riscrittura del Cunto di Basile il personaggio Croce, condannandolo irriverentemente a "un peteggiare involontario, ereditato dall'aerofagia patita prima di morire".

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0360.008

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.

Opus teacher head0.020
GPT teacher head0.250
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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