“Waste Zones and Muskoka Chairs: Global & Non-Global Approaches to Green Canada”
Bibliographic record
Abstract
This essay investigates the role that literature can play in ‘preserving green’ by contributing to situate the idea of green against a broader context, the one of politics, economics and law. Literature can help us to preserve not just a fact, but the many ways old and new historical facts inhabit our cultural memories and combine with aspects of our cultural heritage, which, in turn, pervade our private and collective identities inside an evolving global/globalised society. These ideas are discussed through an investigation of Janice Kulyk Keefer’s long narrative poem 'The Waste Zone', published in the literary quarterly Exile in the spring of 2002 with a photo reportage by Goran Petkovski covering the protests in Quebec City during the 2001 Summit of the Americas. Strategically re-writing T.S. Eliot’s 20th century classic 'The Waste Land', Kulyk Keefer’s work turns a moment in our recent history into a shared narrative which not only helps us to ‘remember’ the facts of Québec City 2001, but also elevates that event into the still-shot or iconic event which cannot but project a different idea of civic engagement also in the green and peaceful land of Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".