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Record W4390010847 · doi:10.1177/00145858231219781

Between Canada and Italy; or, lives and identities in transition: A reading of <i>Where She Has Gone</i> by Nino Ricci

2023· article· en· W4390010847 on OpenAlexaboutno aff
Francesca D’Alfonso

Bibliographic record

VenueForum Italicum A Journal of Italian Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyTheme (computing)SisterIdentity (music)Identity crisisHistoryReading (process)LiteratureHEROGenealogyPsychoanalysisPsychologySociologyPersonalityArtLawAestheticsAnthropologyPolitical science

Abstract

fetched live from OpenAlex

This article focuses on the third novel of Nino Ricci's trilogy about Italian immigration in Canada. More precisely, taking my cue from the theme of nostos in the sense of a search for a fully-fledged identity, I will analyse the way that Where She Has Gone dramatizes the protagonist's predicament in terms of personal conflicts, psychological trauma and sexual ambiguities. Vittorio Innocente is a hero whose life seems to be split between Canada and Italy: this is at the origin of his personal crisis which is characterized by a deeply ingrained sense of peril. In many respects, the main point of the story is represented by the protagonist's return to Italy where he intends to meet all those people who knew him. In fact, he left for Canada as an eight-year-old boy with his pregnant mother who died during the journey after giving birth to a daughter named Rita. While living in Toronto, Vittorio has an incestuous relationship with his younger half-sister Rita, who was the fruit of their mother's adultery in Valle del Sole (Molise). The most dramatic moment of the diegesis takes place when Vittorio meets Rita in Valle del Sole as both are returning from Canada by different routes. Significantly, by looking into their mother's past, they both decide to give up their tormented relationship. The protagonist's journey back to his native village can be seen not only as that of an intellectual in search of his own roots but also as a compelling wish to meet, after many years, his own historic and socio-cultural past in order to better understand his unresolved life as well as his role in Canadian society.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.026
GPT teacher head0.266
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueForum Italicum A Journal of Italian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207