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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".