Anti-Systemic Departures in Lebanese-Canadian Writing: Mouawad and Hage
Bibliographic record
Abstract
This thesis examines the antisystemic writing of Wajdi Mouawad and Rawi Hage, two of the most compelling authors to emerge out of the Lebanese-Canadian diaspora. In their Canadian setting, the writers’ politics of unbelonging serves a countercultural purpose by rearticulating the race, class, and gender disparities eschewed in multicultural discourse. As writers of a growing Lebanese diaspora, they recall the collective injuries sustained during the Lebanese civil war (1975-1990) and which remain underexamined by Lebanese society and government. In this way, Mouawad and Hage assume a subversive position in both the Lebanese and the Canadian contexts by reinscribing histories and experiences that risk erasure. In my analysis of Mouawad’s play Scorched and Mouawad’s novels De Niro’s Game and Cockroach, the differential allocation of precarity and grievability proves the common thread that runs through all three texts. Mouawad and Hage’s representation of their character’s disproportionate exposure to harm and suffering coincides with the broader claims of antisystemic politics. My intervention brackets these texts’ thematic concerns with the critical theories that best explain some of Mouawad and Hage’s more radical depictions of immigrants under duress.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.044 | 0.027 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".