Immortal Apples and Eternal Eggs: Life and Still Life in the Bedsits of Bloomsbury
Bibliographic record
Abstract
This chapter discusses women who lived, studied, painted, networked and often modelled throughout London’s houses in multiple occupancies. In the modernist period, the bedsits of Bloomsbury and the surrounding areas also functioned as studios, teaching rooms and the salons of exhibiting societies. Stardom depended–even for the more bohemian modernist practitioners – on circulating their work and ideas, and simultaneously promoting their personalities, through networks that convened in and around public exhibitions, pubs, cafes, eateries and invitation-only salons hosted by patrons. Canadian artist Emily Carr is renowned for her depictions of the Canadian landscape and West Coast First Nations’ people and culture. While living in a bedsit in Grafton Street in 1913, and ‘feeling brave one morning’, Nina Hamnett went to the Fitzroy Square Omega headquarters and introduced herself to Fry.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".