Articulating the Collective Immigrant Experience in Canada: <i>The Boat People</i> and <i>Shut Up, You’re Pretty</i>
Bibliographic record
Abstract
Exploring the ideology behind merit-based immigration policy in Canada, the paper discusses the collective immigrant experience in the works of two contemporary Canadian female authors, Shut up You’re Pretty (2019) by Congo-born Tea Mutonji, and the novel inspired by the refugee crises since the 1970s, The Boat People (2018) by Sharon Bala. The introductory part problematizes the historically discriminatory immigration policies, and explores the position of the immigrant in contemporaneity, in the process of integration through performatives shaped by the counternarratives of multiculturalism. The analysis of the specific characters’ narratives in these works explores the connection between the personal, subjective, and the collective within the groups of immigrants, refugees and born Canadians to whom Canadianness features as an unattainable goal located behind the glass ceiling. In the concluding remarks, the paper summarizes how these contemporary female authors expose the hypocritical, pragmatic and shifting nature of the multicultural narrative.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.069 | 0.041 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".