Multicultural Little Italy: A Literary Comparison of Canadian and US Urban Enclaves
Bibliographic record
Abstract
Drawing on Paul Moses’ An Unlikely Union: The Love-Hate Story of New York’s Irish and Italians (2015), this article explores the history and literary reflection of multicultural cities. Particularly, Louisa Ermelino’s novel The Sisters Mallone (2002) challenges accepted views of certain urban enclaves as ghettos. This assumption obscures cross-cultural relations and renders superficial the term multicultural as only a mosaic of discrete cultures living together. In this respect, a comparison to official multiculturalism in Canada discusses the complex nature of identity and belonging. A unique case study is Quebec, as is reflected in the position of the trilingual writer and the affiliation to world literature. This article is divided into two parts. Firstly, it analyzes a literary text that looks at US ethnic relations beyond conflict and segregation. The second part, using Italian/Canadian literary history, reflects on Canada as a multicultural country characterized by cultural diversity yet where cultural difference entails unequal power relationships such as regarding migrants and migrant literature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.032 | 0.015 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".