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Record W2523569558 · doi:10.33137/q.i..v36i2.26905

Rethinking <i>italiano popolare</i> for Heritage Italian

2016· article· en· W2523569558 on OpenAlexvenueno aff
Stefania Marzo

Bibliographic record

VenueQuaderni d italianistica · 2016
Typearticle
Languageen
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsnot available
Fundersnot available
KeywordsHeritage languageInterlanguageLanguage contactHistoryLinguisticsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

This article questions the long-standing assumption that heritage Italian can be characterized as italiano popolare on account of a number of similar non-standard features. It is argued that this is a problematic comparison due to some methodological lacunae in research into heritage Italian and that a systematic corpus-based analysis is needed in order to reveal its underlying sociolinguistic dynamics. This study focuses on a corpus of Italian spoken by the Italian community in Flanders (the Dutch-speaking part of Belgium) and presents a multivariate analysis of a set of morphosyntactic simplification features that have been labelled as typical of italiano popolare. It will be shown that the features of heritage Italian clearly correlate to a set of traditional language contact variables (e.g., contact with the home language and intergenerational transmission). This variation pattern shows that heritage Italian can no longer be connected to italiano popolare in the original sense of the term (viz. an interlanguage or diastratically lower regional Italian).

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.005
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.021
GPT teacher head0.255
Teacher spread0.233 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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