Picturing Canadian Modernism Through the Poetics of Eldon Grier
Bibliographic record
Abstract
This thesis recovers and contextualizes the works of the Canadian painter/poet Eldon Grier (1917-2001). Grier was a painter first, studying under John Lyman in Montreal and Diego Rivera in Mexico City before beginning, “quite inexplicably, to write poetry.” This thesis recuperates and makes use of archival sources in order to ascertain the reasoning for this switch, ultimately situating Grier within a trend of Canadian “painterly poets” which includes P.K. Page-Irwin, Roy Kiyooka and Phyllis Webb. Each of these poets changed artistic mediums in the latter half of the twentieth century as they contended with the formal conventions of literary modernism. Not yet the concrete poetry of postmodernism, theirs is a poetics that recruits the visual at the level of methodology. As a foregrounding figure in this tradition Grier helps to chart the development of visual poetry in Canada, writing through what Len Early calls the “ambiguous fault-line” between modernism and postmodernism in Canada.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.022 | 0.024 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".