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Record W2284057563 · doi:10.33137/q.i..v35i1.22350

“I buoni ammaestramenti che a ogni ora e sopra a ogni caso e’ riceverà da lui.” Un nuovo archetipo di padre mercante nei <i>Ricordi</i> di Giovanni di Pagolo Morelli

2015· article· it· W2284057563 on OpenAlexvenueno aff
Deborah Pellegrino

Bibliographic record

VenueQuaderni d italianistica · 2015
Typearticle
Languageit
FieldSocial Sciences
TopicEducational and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtDovePolitical science

Abstract

fetched live from OpenAlex

Questo saggio propone una nuova lettura dei Ricordi di Giovanni Morelli, un’opera composita e funzionale in cui l’autore intesse un ritratto estremamente potente di sé, che diventa tanto più deciso quanto più contrasta con quello del padre Pagolo, e che si concretizza chiaramente negli ammaestramenti rivolti ai figli. Per riuscire dove il proprio genitore ha fallito, nella parte centrale del testo, Giovanni si consacra alla loro educazione e alla salvaguardia del patrimonio familiare, offrendo consigli pratici che sono saldamente legati alla propria conoscenza, esperienza ed eredità mercantile. È esattamente qui che riesce a creare un’immagine esemplare di sé, sia come padre onniscente, sia come abile mercante e a superare quella del genitore e della sua gente Morella. Operando una riscrittura attiva del passato e del presente, ed insegnando a guardare al futuro, lo scrittore realizza un lavoro affascinante, la cui genesi va ricercata in un’inconfessata e sottile condanna delle cattive scelte del padre e in un reale intento pedagogico, morale e autocelebrativo.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.059
GPT teacher head0.311
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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