Extraction, Memorialization, and Public Space in Leo McKay’s Albion Mines
Bibliographic record
Abstract
In Anne of Tim Hortons (2011), Herb Wyile argues that Leo McKay’s novel Twenty-Six (2003) situates the 1992 Westray coal mining disaster in a broad set of economic and social conditions affecting Atlantic Canada at the end of the twentieth century. This essay considers McKay’s novel in the context of a wider debate over public space in northern Nova Scotia’s Pictou County through post-industrial critiques from Tim Edensor, Rebecca Scott, and Stephen High and David Lewis. While the state’s memorial infrastructure privileges straightforward narratives about the bravery and sacrifice of the miners who were killed in Westray and other disasters, and presents a smooth transition between the dangerous and violent industrial era and the clean and efficient post-industrial era, Twenty-Six employs a nonlinear timeline and images of abandoned space to contest this progressive image of the region.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".