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Record W6945111823 · doi:10.2426/aibstudi-13874

Andrea Caronti (1798-1882) e il suo catalogo degli incunaboli

2023· article· it· W6945111823 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageit
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsStatistical analysisPopulationQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

L’articolo si concentra sulla figura di Andrea Caronti, bibliotecario della Biblioteca universitaria di Bologna (BUB) dal 1830 fino all’anno della sua morte, il 1882, e in particolare sul suo catalogo degli incunaboli. Lo scopo è ricostruire la vita del bibliotecario ed evidenziare la modernità e la qualità del suo operato, in modo da tirare fuori dall’anonimato questo affascinante personaggio bolognese. Sebbene Caronti abbia prodotto un numero significativo di strumenti catalografici di grande importanza per la biblioteca (uno su tutti, il catalogo a schede per autori), la sua figura è del tutto sconosciuta al di fuori della BUB. All’interno dell’articolo, perciò, si ripercorre la vita e l’attività lavorativa di Caronti, facendo riferimento alle fonti principali utilizzate durante la ricerca e in particolar modo all’anomalo copialettere che il bibliotecario utilizzava anche per prendere appunti e fare conti. Si propone una breve descrizione del catalogo generale per autori, per poi concentrarsi sul catalogo degli incunaboli manoscritto compilato da Caronti e revisionato, in vista della stampa, dai collaboratori Lodovico Frati e Alberto Bacchi della Lega. Si prosegue presentando le fonti studiate da Caronti per la compilazione del suo catalogo, infine si descrivono le schede manoscritte e le modifiche apportate dai curatori nella fase di revisione del catalogo, confrontando il progetto originario di Caronti con la versione finale a stampa.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0040.003
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0430.014

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 head0.307
GPT teacher head0.508
Teacher spread0.201 · 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
Published2023
Admission routes1
Has abstractyes

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