Literature and the glocal city : reshaping the English Canadian imaginary
Bibliographic record
Abstract
Introduction: Urban Glocality and the English Canadian Imaginary Ana Maria Fraile-Marcos 1. Mobility and its Disenchantments in Marie Clements' The Unnatural and Accidental Women and Burning Vision Deena Rymhs 2. Embodying the Glocal: Immigrant and Indigenous Ideas of Home in Tessa McWatt's Montreal Michele Lacombe 3. From Rowanwood to Downtown: The Torontonians and Girls Fall Down Coral Ann Howells 4. Dystopic Urbanites: Civilian Cyborgs in TransCanadian Speculative Fictions Belen Martin-Lucas 5. The Intrinsic Potential of Glassness: Narcissistic, Opaque, Organic Modes of Signifying the Urban in Vancouver Eva Darias-Beautell 6. The Refugee as Signifier in the Semiotics of the Glocal City: Michael Helm's Cities of Refuge Ana Maria Fraile-Marcos 7. Responding to Late Capitalism: The Mall Kit Dobson 8. Hipster Urbanism and Glocal Toronto Brandon McFarlane 9. Glocalization and Neoliberalism in Michael Winter's The Architects Are Here Herb Wylie 10. Ian Fleming's Canadian Cities George Elliott Clarke
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.028 | 0.026 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".