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Record W4405998917 · doi:10.54103/2037-3597/27770

L’ITALIANO ATTRAVERSO LA STAMPA IN CANADA: IL CASO DEL «PROGRESSO ITALO-CANADESE» (1929-1932)

2025· article· it· W4405998917 on OpenAlexaboutno aff
Elena Roda

Bibliographic record

VenueItaliano LinguaDue · 2025
Typearticle
Languageit
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Il contributo intende evidenziare alcuni aspetti del linguaggio giornalistico del “Progresso Italo-Canadese”, periodico in lingua italiana pubblicato a Toronto tra le due guerre mondiali. Attraverso l’analisi degli aspetti giornalistici e linguistici, svolta sulla pagina della cronaca cittadina nei primi sei mesi di pubblicazione del giornale, si evidenziano le specificità della lingua utilizzata in quel particolare contesto – la comunità italiana di Toronto – e in quel particolare momento storico, in cui la stampa risente dell’influenza del linguaggio e dei temi veicolati dal regime fascista. Se da un lato si evidenziano costrutti che rimandano alla lingua dei giornali dell’epoca – e di periodi precedenti – in Italia, dall’altro si segnalano strutture mutuate dalla lingua inglese. I testi sui quali è svolta l’analisi sono conservati presso Library and Archives Canada (LAC) di Ottawa. Italian language in Canada: the case of the Progresso Italo-Canadese periodical (1929-1932) The paper highlights some aspects of the language of Progresso Italo-Canadese, an Italian-language periodical published in Toronto between the two World Wars and preserved at Library and Archives Canada (LAC) in Ottawa. The analysis looks at page 3 (local news) of the newspaper in the first six months of publication, studying journalistic and linguistic aspects. The analysis highlights the specificities of the language used in that context – the Italian community of Toronto – and in that moment, in which the press felt the influence of language and themes conveyed by the fascist regime. While on the one hand, constructs that refer to the language of the newspapers of the time – and earlier periods – in Italy are highlighted, on the other hand, constructs borrowed from the English language are also noted.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.270
Teacher spread0.256 · 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 teacher head, not a consensus.

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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