Artist Emily Carr and the Spirit of the Land: A Jungian Portrait
Bibliographic record
Abstract
Emily Carr, often called Canada’s Van Gogh, was a post-impressionist explorer, artist and writer. In Artist Emily Carr and the Spirit of the Land Phyllis Marie Jensen draws on analytical psychology and the theories of feminism and social constructionism for insights into Carr’s life in the late Victorian period and early twentieth century. Presented in two parts, the book introduces Carr’s emigre English family and childhood on the edge of nowhere and her art education in San Francisco, London and Paris. Travels in the wilderness introduced her to the totem art of the Pacific Northwest coast at a time Aboriginal art was undervalued and believed to be disappearing. Carr vowed to document it before turning to spirited landscapes of forest, sea and sky. The second part of the book presents a Jungian portrait of Carr, including typology, psychological complexes, and archetypal features of personality. An examination the individuation process and Carr’s embracement of transcendental philosophy reveals the richness of her personality and artistic genius. Artist Emily Carr and the Spirit of the Land provides captivating reading for analytical psychologists, academics and students of Jungian studies, art history, health, gender and women’s studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".