Heartland/hinterland/wasteland: North American ex-urbia as a 'non-lieu de la surmodernité' in Catherine Mavrikakis's <i>Le Ciel de Bay City</i>
Bibliographic record
Abstract
Turning away from changing definitions of heartland and hinterland in twentieth-century Quebec, Le Ciel de Bay City, Catherine Mavrikakis's 2009 prize-wining novel, offers a devastating critique of Western consumerist society in the anonymous wasteland of contemporary North American ex-urbia. Marcel Auge's analysis of 'supermodernity' provides the initial conceptual basis for an analysis of Mavrikakis's argument. However, the harrowing hallucinatory experiences of her female narrator/protagonist, a Franco-American of Jewish descent, introduce a crucial historical dimension. Uncovering with the narrator the secrets of her past, Le Ciel de Bay City traces the dystopic malaise of North American industrial ex-urbia to its sources in the production-line slaughter of the Holocaust. Mavrikakis's portrait of traumatised alienation thus engages with a Western catastrophe capitalist reification in ways that recall not only the work of Auge but also the analyses of sociologists such as George Ritzer and political ac...
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.021 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".