<scp>Swift, Megan</scp>. Picturing the Page: Illustrated Children’s Literature and Reading under Lenin and Stalin
Bibliographic record
Abstract
Swift, Megan. Picturing the Page: Illustrated Children’s Literature and Reading under Lenin and Stalin. Toronto: University of Toronto Press, 2020. 240 pp. Illustrations. $75.00 (hardcover), $29.95 (paperback), $29.95 (ebook). ISBN 978–1–4426–1531–1. Russian Studies has seen a marked increase in interest in children’s literature in the past fifteen years. The early Soviet period offers a particularly rich seam for scholars, as the Bolsheviks placed great emphasis on children’s education, hoping to raise a generation of New Soviet People. While scholars such as Marina Balina, Ben Hellman and Serguei Oushakine have treated this phenomenon at some length, Megan Swift’s book treads new ground by concentrating specifically on illustrated children’s literature. Moreover, rather than focusing exclusively on picture books written specifically for young children, Swift looks more broadly at the role of illustration in ‘children’s reading’ (p. 8) – the totality of what children read. This larger remit allows Swift to...
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.164 | 0.084 |
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".