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Record W7108466328 · doi:10.1515/9798855804010

Italian Americans on the Page

2025· book· W7108466328 on OpenAlexaboutno aff

Bibliographic record

VenueSUNY Press eBooks · 2025
Typebook
Language
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaSection (typography)Variety (cybernetics)Italian literatureSpecial section

Abstract

fetched live from OpenAlex

Approaches Italian American literature from new critical perspectives and explores contemporary and understudied voices from both the United States and Canada. Italian Americans on the Page fills a significant gap in Italian American and Italian diaspora studies, particularly literature, as it explores four genres—fiction, poetry, memoir, and theater—from a variety of critical perspectives. The first section of the book offers reconsiderations of two canonical authors, Helen Barolini and Don DeLillo, while the other three sections bring new attention to understudied Italian American and Italian Canadian writers, including women and LGBTQIA+. These include Mary Jo Salter, Peter Covino, Louise DeSalvo, Karen Tintori, Juliet Grames, Ben Piazza, Salvatore Antonio, Christopher DiRaddo, Michele Linfante, Chris Cinque, Theresa Carilli, Mary Melfi, and Michaela Di Cesare. Each contribution approaches Italian American and Italian diaspora studies through a unique theoretical lens, adding to the richness of what proceeds this publication in the field. Ultimately, the volume offers rereadings of foundational Italian American works and provides newfound attention to understudied and emerging Italian diasporic voices.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.008

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 head0.062
GPT teacher head0.319
Teacher spread0.257 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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