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Record W7028676386

Frenitalianese in Montreal: when French, Italian and English collide

2016· article· it· W7028676386 on OpenAlexaboutno aff

Bibliographic record

VenueAMS Degree Thesis (University of Bologna) · 2016
Typearticle
Languageit
FieldSocial Sciences
TopicHistorical Education and Society
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionHyporeflexiaFusible alloyGestational periodWindageLiquation
DOInot available

Abstract

fetched live from OpenAlex

La tesi approfondisce le origini della lingua francese e inglese approdate sulle coste canadesi con Jacques Cartier e i colonizzatori britannici. Un ulteriore cambiamento linguistico si osserva con l’arrivo delle ondate di immigrati provenienti da diversi paesi, tra di loro anche moltissimi italiani. Un cambiamento importante ha coinvolto la lingua parlata dagli immigrati italiani sbarcati a Montreal negli anni ’60. Una commistione di dialetti ha dato vita, in definitiva, ad una lingua ibrida: l’Italianese. L’analisi per generazione ha, in seguito, permesso di osservare l’evoluzione e l’involuzione dei rapporti tra italiano, inglese e francese, con la creazione di parlate uniche che non possono essere scisse né dalla cultura di partenza, quella italiana, né da quelle di arrivo (inglese e francese). Ogni generazione ha sviluppato, in maniera originale, un particolare rapporto sui tre diversi fronti linguistici con i quali si confronta ogni giorno e le soluzioni trovate sono del tutto inaspettate e straordinarie. Si può notare, infine, come il rapporto con la lingua italiana sembra affievolirsi nei più giovani e nella più acerba quarta generazione. Solo il passare del tempo, però, potrà rivelarci cosa ne sarà della lingua italiana parlata a Montreal.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.220
Teacher spread0.195 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

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