Bibliographic record
Abstract
More than an ancient means of transportation and trade, the canoe has come to be a symbol of Canada itself. In Canoe Nation, Bruce Erickson chronicles the story of the canoe in the Canadian imagination. He argues that the canoe's sentimental power has come about through a set of narratives that attempt to legitimize a particular vision of Canada and explores how the canoe went from being an industrial-economic vehicle to a purely recreational vessel. From Alexander Mackenzie to Grey Owl to Pierre Elliott Trudeau, the canoe has been overvalued as a connection to the "nature" of Canada. Examining voyageur re-enactments, turn-of-the-century sportsman stories, and the subsequent "greening" of the canoe, this book shows how this symbol authenticates Canada's reputation as a tolerant, environmentalist nation, even when there is abundant evidence to the contrary. Ultimately, the stories we tell about the canoe need to be understood as moments in the ever-contested field of cultural politics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.079 | 0.015 |
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".