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Record W7128333164

The Migrant Experience in Italian-Canadian Writing.

2025· book-chapter· en· W7128333164 on OpenAlexaboutno aff
D. Saidero

Bibliographic record

VenueInstitutional Research Information System (University of Udine) · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsDialogicFemininityDiasporaAgency (philosophy)PluralIdentity (music)Settlement (finance)
DOInot available

Abstract

fetched live from OpenAlex

This chapter deals with Italian-Canadian women writers and the multiple ways in which they tackle the trauma of migration in their works, which become sites of resistance, agency and healing. By focusing mainly on writers who immigrated to Canada as children in the 1950s and 60s (e.g., Mary Di Michele, Caterina Edwards, Genni Gunn, Gianna Patriarca, Dore Michelut, and Licia Canton), it examines how, in their endeavors to renegotiate identity within a transcultural paradigm, they devise various strategies to come to terms with their linguistic and cultural duality. These include multilingual experimentation and self-translation, crypto-ethnic metaphorical transposition, as well as a dialogic and parodic engagement with Italian culture, so as to debunk culture-bound stereotypes about Italian femininity and idealized visions of mothers and the motherland. While documenting the loss and pain caused by the migratory experience and the hardships of settlement in Canada, they add a gender perspective to the Italian-Canadian diaspora which re-inscribes the role of women as both preservers and transmitters of Italian cultural traditions and agents of change. Indeed, their writing enacts a transcultural fusion of old and new cultural elements and elicits a reformulation of ethnic identity as a hybrid, fluid and intersubjective space in which to accommodate plural modes of being and belonging and to reimagine notions of home and nation in transnational and cosmopolitan terms.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.069
GPT teacher head0.311
Teacher spread0.242 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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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