Nature Reimagined: Christi Belcourt’s Ecological Aesthetic and Its Impact on Canadian Perspectives
Bibliographic record
Abstract
This thesis examines how Christi Belcourt’s works, Wisdom of the Universe and Offerings to Save the World, unsettle the legacy of the Canadian landscape tradition by centering the perspectives of Indigenous women and being grounded in traditional knowledge and practices. By situating Belcourt’s works in relation to established landscape paintings by the Group of Seven and Tom Thomson, I demonstrate how her practice challenges romanticized and extractive representations of the landscape, instead highlighting the interconnection of all living beings and the fragility of our ecosystems. Drawing on the work of scholars from Indigenous studies, ecology, Indigenous feminisms, and art history, this thesis examines how Belcourt innovatively adapts storytelling, Indigenous ecologies, and Métis floral beadwork to the canvas to redefine the possibilities of contemporary Indigenous art.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.050 | 0.037 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 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".