Intercultural Dialogue, Diaspora, and the Divided Self in Nasrallah's Canadian Fiction (2004)
Bibliographic record
Abstract
This article looks at the second part of Dimitri Nasrallah's novelBlackbodying(2004), which takes the form of an embedded novella, “Canadian Fiction.” This novella explores how an immigrant's traumatic diasporic experience silences intercultural dialogue in an inhospitable Toronto. Drawing on the conceptual framework of internalization, this study first examines the stigmatizing condition of the immigrant in exile, which projects a whimsical obsession with Heidi, a fictional woman, as a nostalgic object of desire. Second, the novella underpins the loss of real-life dialogue that disfigures Sameer's genuine pursuit of social integration. This study, therefore, argues that the loss of the ideal not only traps immigrants in a never-ending chase but also threatens their very capacity to recreate third space realities. Third, the study negates the often-romanticized meta-narrative of successful immigrants living in welcoming cities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.032 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".