(Self-)Portrayals of Mixed Cultural Identities in the Works of Emily Carr and István Fujkin
Bibliographic record
Abstract
The article examines the work of two artists, Emily Carr (1871 – 1945) and István Fujkin (1953), focusing on Carr’s early and mature “Indian paintings,” and Fujkin’s “Blue Owl” series, completed between 2001 and 2005. The paintings chosen from among Carr’s works are thematically linked to Klee Wyck (1940), her first fictional work describing her travels and experiences with the First Nations People in British Columbia. Though the two artists come from different cultural backgrounds, since Carr was descended from English immigrants and Fujkin is a Hungarian born in the former Yugoslavia, there are similarities in their work. Both artists depict work across time and make use of transnational imaginaries of nature and Native Canadian cultural symbols that ultimately function as a bridge between Native and western culture. Fujkin’s talent lies in his ability to “paint the music” composed and performed by Canadian Mohawk musician Robbie Robertson. Emily Carr’s paintings offer images of her visionary world that transcends cultural identities and provides an insight into nature infused with spiritual and magical elements.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".