Bibliographic record
Abstract
What happens when the romantic and imperialistic stories of Canada’s north become clearly outmoded and unsustainable? In North of Vinland, my collection of linked short stories and essays, I explore the transition from an older narrative mode to a newer, hybrid mode responsive to the demands of the 21st century. \nIn the short stories, I chart the difficult progress of a floundering grad student in Labrador. While living in Happy Valley-Goose Bay, he must learn to navigate his new home, find a stoic response to his acute depression, reclaim his troubled masculinity, and repair his relationship with his fiancé, Claire. As in any quest, help arrives in the form of a guide: Virgie McLean, a former trapper who remembers the old ways of “them days” and who quietly shapes the narrator’s understanding of the Big Land. \nIn the essays, which are interwoven with the stories, I discuss Labrador’s explorers (such as Leonidas Hubbard, Mina Benson Hubbard, and William Cabot, among others). In examining the lives and legacies of these explorers, echoes emerge between the experiences of my narrator and the explorers who preceded him. Some, like William Cabot, suggest opportunities and possibilities; others, like Dillon Wallace, should be read as cautionary examples and problematic figures from an imperialistic history. \nIn the contrapuntal relationship between the stories and the essays, a question emerges: are the elements found in narratives of exploration and frontiers (such as The Lure of the Labrador Wild) inescapable archetypes or can they be re-imagined, subverted, and re-written? \nNorth of Vinland attempts to answer this question by deploying a hybrid, multi-genre narrative that is ironic and self-aware.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.080 | 0.006 |
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".