Unsettling encounters: First Nations imagery in the art of Emily Carr
Bibliographic record
Abstract
Foreword / Marcia Crosby Places Painted by Emily Carr Part 1: Contexts for a Colonial Artist 1. The Legendary Emily Carr 2. Drawing and Insubordination 3. Missionary in Reverse 4. Among Ethnographers and Indian Agents Part 2: A Pictorial Record of Native Villages and Totem Poles, 1899-1913 5. They Named Me Klee Wyck 6. The Despised and Joyous Way of Painting 7. Old Mythological Legends: Gitxsan Villages in 1912 8. A Great Dignity: Haida Gwaii in 1912 9. Unchanged by Fashion and Civilization: Kwakwaka'wakw Villages in 1912 10. The Largest Collection Yet Made: Carr's 1913 Exhibition in Vancouver and Its Aftermath Part 3: Homesick for Indian 11. Out of the Wilderness and into the National Gallery 12. What They Are Trying to Forget: Sketching Trips from 1928 13. The Big Thing That Means Canada Herself 14. Retrospect Notes Bibliographic Essay Index
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".