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Record W6962426786 · doi:10.17469/o2106sli000015

Un corpus per lo studio della variazione sociolinguistica dell’italiano in contesto migratorio

2022· book-chapter· it· W6962426786 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutional Research information system (University of Urbino) · 2022
Typebook-chapter
Languageit
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsnot available
Fundersnot available
KeywordsLanguage contactCorpus linguisticsSociolinguistics

Abstract

fetched live from OpenAlex

Presentiamo scopi, metodi e alcuni risultati rilevanti del progetto Heritage Language Variation and Change in Toronto, che dal 2009 raccoglie la produzione linguistica di 10 comunità alloglotte giunte nell’area in seguito a ondate migratorie di diversa storia e provenienza. Il progetto, ispirato alla metodologia variazionista nordamericana, ha portato alla costruzione di un corpus multilingue, stratificato socialmente e anagraficamente, con dati relativi alla lingua del patrimonio della prima generazione di immigrati così come di due generazioni di loro discendenti ed anche un campione di parlanti rimasti in ogni paese di origine. Vengono analizzate in particolare le caratteristiche del campione di italiano calabrese e vengono illustrati i principali risultati di due filoni di indagine, focalizzati rispettivamente su una variabile morfosintattica e una fonologica. Essi mettono in luce la complessità dei fattori linguistici ed extra-linguistici che influenzano il modo in cui le lingue del patrimonio vengono mantenute e trasmesse attraverso le generazioni.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.049
GPT teacher head0.265
Teacher spread0.216 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueCINECA IRIS Institutional Research information system (University of Urbino)Same topicLinguistic Studies and Language AcquisitionFrench-language works237,207