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Record W3192034291 · doi:10.12795/futhark.2019.i14.12

Introducción Due pittrici greche nel De mulieribus claris (II): Irene

2019· article· it· W3192034291 on OpenAlexaff
Francisco José Rodríguez Mesa

Bibliographic record

VenueFuthark Revista de Investigación y Cultura · 2019
Typearticle
Languageit
FieldArts and Humanities
TopicHistorical and Religious Studies of Rome
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Fra le centosei biografie muliebri che compongono il De mulieribus claris di Giovanni Boccaccio si annoverano quelle di un certo gruppo di donne che spiccarono per la loro saggezza o per il loro virtuosismo in diverse arti. All’interno di questa categoria, il certaldese narra brevemente il talento di due pittrici che vissero nella Grecia dell’Antichità: Tamari, figlia di Micone (capitolo LVI), e Irene, figlia di Cratino (LIX). Il presente articolo – secondo di due studi che prendono in analisi le due vite suddette – studia le particolarità del capitolo dedicato a Irene (LIX) analizzando le fonti utilizzate dall’autore e la struttura della vita alla luce degli schemi narrativi usati dal certaldese.

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 score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0170.001

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 head0.217
Teacher spread0.200 · 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
Published2019
Admission routes1
Has abstractyes

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