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Record W4381279972 · doi:10.33137/ic.v2i1.41208

Maria Jose Ardizzi, Il sapore agro della mia terra

2023· article· it· W4381279972 on OpenAlexvenueno aff
Vittoriano Esposito

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageit
FieldEconomics, Econometrics and Finance
TopicDiverse academic and cultural studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Con Il sapore agro della mia terra Maria Jose Ardizzi ci ha dato il secondo romanzo di una trilogia dal titolo complessivo «Il Ciclo degli Emigranti»: un lavoro molto impegnativo che, quando sarà completato (l'uscita del terzo volume, La buona America, è prevista per l'anno prossimo) costituirà indubbiamente la rappresentazione letteraria più viva e omogenea del fenomeno emigratorio che tanto ha afflitto l'Italia da un secolo a questa parte.L'Ardizzi*vivecinUCanada #esattamente a Toronto; dall'ultimo dopoguerra, ma è nata e cresciuta in Abruzzo, la terra che porterà eternamente nel cuore, con i ricordi di un mondo che rappresenta la prima matrice della sua formazione di scrittrice.Le vicende di una famiglia abruzzese, infatti, sono al centro del primo romanzo, Made in Italy, insignito del premio «Ontario

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)0.006
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: Other · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0420.024

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 head0.044
GPT teacher head0.213
Teacher spread0.170 · 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
GenreOther

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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