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Record W3154821158 · doi:10.20381/ruor-25483

Anti-Systemic Departures in Lebanese-Canadian Writing: Mouawad and Hage

2020· dissertation· en· W3154821158 on OpenAlexaboutno aff
Fatima Mourad

Bibliographic record

VenueuO Research (University of Ottawa) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsSystemic riskGenealogyGeographyPolitical scienceHistoryEconomics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.106
Threshold uncertainty score0.403

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0440.027
Scholarly communication0.0120.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.058
GPT teacher head0.336
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueuO Research (University of Ottawa)Same topicMiddle East Politics and SocietyFrench-language works237,207