Bibliographic record
Abstract
EMILY CARR WAS A DEDICATED ARTIST AND WRITER. S h e w a s not a very politically or socially conscious person. Raised in cultivated gentility and respectability, as an adult she lived on inherited capital as a rentier and small-scale entrepreneur involved in private teaching, dog breeding, and souvenir making. She even speculated a little in real estate. Aside From contractual teaching in private schools for a few years in Vancouver (and working as a decorator in California), she never had a job. Indeed, the thought of entering the labour fojfce as public school teacher, for example, or stenographer, retail clerk, teller, or telephone operator was one she never seems to have entertained. Her unmarried sisters were similarly independent, Alice running her own elementary school classes and Lizzy being a physiotherapist. Carr was, all her idiosyncrasies and eccentricities aside, a woman of conservative temperament. She did do some politically charged cartoons for the Western Women s Weekly, a women's rights magazine, but otherwise her comments on the economic order, on class relations, and on political questions are very rare. We have no idea how, after women received the franchise, she cast her vote in any election (or, indeed, whether she voted at all). Few public events national, provincial, or municipal seem to have troubled her. World wars enter her concerns, of course, as did recessions, for they affected the rents she received. We know that she had harsh words for the single unemployed men who occupied the Vancouver Art Gallery in 1938, but, had it not been the gallery they
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.045 | 0.016 |
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".