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Record W4310726306 · doi:10.33137/q.i..v42i2.39699

“La festa di tutti i matti.” L’ospidale de’ pazzi incurabili di Tomaso Garzoni

2022· article· it· W4310726306 on OpenAlexvenueno aff
Marcello Sabbatino

Bibliographic record

VenueQuaderni d italianistica · 2022
Typearticle
Languageit
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Nessuno prima del poligrafo Tomaso Garzoni da Bagnacavallo aveva immaginato di trasformare un’opera letteraria in un edificio per i folli. Per una civiltà che coltiva la suprema dignità della natura umana, la prospettiva delle linee e la geometria architettonica, l’oscurità della mente diviene la più terribile minaccia. Secondo Ariosto, Astolfo non avrebbe potuto rintracciare sulla Luna la pazzia, che “sta qua giù, né se ne parte mai” (Orlando furioso 34.81.8). Quasi su invito del suo autore, Garzoni cerca di contenere la diffusione della follia e, come in un giorno di “festa di tutti i matti,” apre al mondo “le porte” della sua “fabrica” per accogliere gli “onorati spettatori.” L’ospidale de’ pazzi incurabili, apparso nel 1586 presso tre tipografie, ripercorre la storia umana senza cercare una linea evolutiva, ma individuando le falle della ragione e il diffondersi dell’insania. In questo percorso irregolare, simile ad un segmento tratteggiato, fatto di vuoto e pieno, assenza e presenza, la pazzia rivela la sua natura poliedrica e si presenta nella molteplicità delle manifestazioni particolari, mostrando il lato tenebroso del cammino degli uomini. L’ospidale si colloca al tramonto di un secolo e di una civiltà letteraria e all’alba di una nuova concezione dell’arte e del mondo.

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)0.001
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 score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0290.005

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 head0.243
Teacher spread0.223 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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