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Record W4310731599 · doi:10.33137/q.i..v42i2.39697

Alterità scientifica e alterità etnica: la costruzione del personaggio di Albumazar nell’Astrologo di Giovan Battista Della Porta

2022· article· it· W4310731599 on OpenAlexvenueno aff
Matteo Leta

Bibliographic record

VenueQuaderni d italianistica · 2022
Typearticle
Languageit
FieldPhysics and Astronomy
TopicHistorical Astronomy and Related Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

In questo articolo analizzeremo la cultura, la lingua e le caratteristiche etniche di Albumazar, protagonista della commedia l’Astrologo (1606) di Giovan Battista Della Porta (1535–1615). Questo personaggio rientra nello stereotipo del mago ciarlatano e truffatore, la cui rappresentazione conosce una grande fortuna nel teatro rinascimentale e barocco. Mettendo in scena gli imbrogli di Albumazar, Della Porta non sembra soltanto difendersi dalle accuse e dai sospetti del Sant’Uffizio, ma potrebbe anche mostrare la veridicità delle sue posizioni scientifiche, perché il protagonista dell’Astrologo sembra opporsi alle tesi sostenute dallo scrittore campano in altre opere. In tal senso, Della Porta potrebbe legittimare le proprie teorie alchemiche e fisiognomiche grazie agli errori e alle truffe del protagonista della pièce.

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)0.004
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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.013
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.003

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 head0.017
GPT teacher head0.237
Teacher spread0.221 · 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
Published2022
Admission routes1
Has abstractyes

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