Envoicing Silent Objects: Art and Literature at the Site of the Canadian Landscape
Bibliographic record
Abstract
The conjunction of art, literatureand place in this special issue provides an occasion for considering the intersection of visual art and the literary narrative at the site of that most definitive of place-markers in the history of Canadian nationhood, the landscape painting. As characterized by the iconic, overtly nationalist works of Tom Thomson and the Group of Seven in the early part of the twentieth century, Canadian placeconsists, very precisely, of landscape—no more, no less. To gaze into a painting by Thomson, Harris, Lismer, Varley, Macdonald or Jackson is to be confronted by an icy, forbidding and—crucially—silentworld. If there isany trace of humanity to be found here, it can perhaps be located only in the eerily humanoid form of a windswept tree, a stand-in for the pioneer-settler engaged in ceaseless combat with a wilderness every bit as white and hardy as he. This tree seems perpetually on the brink of succumbing to the elements that continually besiege it, and wecan be certain that, wereit tofall, it would make no sound.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.048 | 0.028 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".