Hunger, Consumption, and “Contaminated” Aesthetics in Rawi Hage’s Cockroach
Bibliographic record
Abstract
This essay reads Rawi Hage’s Cockroach as a novel that goes beyond revealing the alienation and personal difficulties faced by ethnic outsiders attempting to make a living in Canada’s ‘multicultural mosaic.’ Although the text undeniably exposes the material and psychological challenges faced by immigrants, it also situates this human struggle in the context of a plurality of biological beings fighting for survival within the urban ecosystem of downtown Montreal. The text draws on romanticized notions of idyllic, natural beauty and subverts them to reveal the ideological shortcomings present in dominant discourses surrounding the representation of the environment and of human relationships with urban space. Instead of focusing on the aesthetic appeal of landscapes that appear wild and uncompromised by human disturbance, Hage forces the reader to gaze upon the city, its garbage and sewage, disrupting seemingly obvious divisions between food and waste in the narrative. Advancing a new mode of aesthetic appreciation for “contaminated” environments and their “edible” potential in the modern urban setting, the novel’s poetic language and its aesthetic sensibility function as rhetorical devices to envision a restructuring of common conceptions of human-nonhuman relations and a more ethical approach to consumption in an already compromised global ecosystem.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.028 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".