“Sculptress Interprets Land’s Spirit”: Elizabeth Wyn Wood, the Group of Seven, and analogy as equivalence
Bibliographic record
Abstract
Canadian sculptor Elizabeth Wyn Wood (1903–66), best known for her modernist landscape sculptures, has since the inception of her artistic career been compared, through analogy, with the Group of Seven (fl. 1920–33), Canada’s enduringly famous and overtly nationalistic collective of modernist landscape painters. Critics claimed that Wood “achieved for sculpture what the Group of Seven achieved for painting” and, occasionally, invoked specific Group artists, dubbing Wood the “Lawren Harris of sculpture.” Analogizing across disciplines, the Wood/Group likening appears to posit a formal comparison in gendered language: the Group’s bold, decorative portrayals of the northern Ontario “wilderness” find clear visual comparands in Wood’s abstracted compositions of the same region. In this article, however, I demonstrate that the apparently visual basis for the comparison is inextricable from the textual discourse fundamental to Canadian art in the early twentieth century and beyond; it is only through analyzing this discourse that an understanding of the Wood/Group analogy can be reached. The Group ostensibly pioneered the first genuine Canadian landscape aesthetic; through immersing himself in the land, the mythology went, the Canadian artist learned to paint Canada on its own terms. This landscape artist-as-woodsman myth was a form of settler indigenization by which Canada laid cultural claim to colonized land. Analogy frames Wood as not an epigone but an equal of the Group: in producing organically, anew, a genuine Canadian landscape aesthetic for sculpture, Wood “achieved for sculpture what the Group of Seven achieved for painting”—its deployment as a medium in the service of Canada’s land claim.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.035 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".