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Record W4402738981 · doi:10.5406/23256672.97.3.08

Per una “mitografia dell'uomo” nella letteratura: i <i>Saggi</i> di Guido Pugliese

2020· article· it· W4402738981 on OpenAlexaboutno aff
Salvatore Di Marzo

Bibliographic record

VenueItalica · 2020
Typearticle
Languageit
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Abstract Il testo si propone di riflettere sull'importante figura dell'italianista cosentino, naturalizzato in Canada, Guido Pugliese, attraverso la lettura dei saggi raccolti nel volume postumo Saggi di letteratura italiana. Da Dante a Manzoni (2017). In tali interventi, rivisti dall'autore e che ricoprono l'intero arco della sua carriera accademica, emerge con forza l'idea di una letteratura mai svincolata dall'esperienza umana legata a un tempo e in uno spazio ben precisi; in tal senso, nell'esegesi di Pugliese, il metodo crociano è profondamente e implicitamente intriso del concetto di geografia letteraria espresso da Carlo Dionisotti, per cui il documento letterario (la Commedia, il Decameron, I promessi sposi, I Malavoglia, etc.) è inteso come prodotto immanente rispetto all'entità storicamente circoscritta della vita umana.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.060
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0070.006
Scholarly communication0.0100.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0220.004

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 head0.019
GPT teacher head0.214
Teacher spread0.196 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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