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Record W4415491662 · doi:10.1177/00145858251384263

Mario B Mignone's legacy on teaching and learning Italian culture

2025· article· en· W4415491662 on OpenAlexaff
Marco Lettieri, Michael Lettieri

Bibliographic record

VenueForum Italicum A Journal of Italian Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducational and Social Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPraiseScope (computer science)KingdomHistory of the bookCriticism

Abstract

fetched live from OpenAlex

The purpose of this article is to present Mario B Mignone the “teacher,” particularly through his course on modern Italy at Stony Brook University, which led to various editions of his landmark volume on the history and culture of post-War Italy: Italy Today . Since its initial release by Peter Lang as Italy Today: A Country in Transition (1995), followed by two revised editions in Italy Today: At the Crossroads of the New Millennium (1998) and Italy Today: Facing the Challenges of the New Millennium (2008), Mignone has received consistent, resounding praise from critics for the unparalleled high standard through which his volume introduces Italian culture and history to new adult learners, applying a scientific lens to its ambitious scope and substantial content.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.002

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 head0.023
GPT teacher head0.369
Teacher spread0.345 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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