Joshua, King David, and the Flying Nun: Doodles and Reader Annotations in Post-Holocaust Yiddish Primers for Children
Bibliographic record
Abstract
Students in Yiddish supplementary schools used texts produced by educators steeped in a diaspora nationalist pedagogy that reflected the ideological coupling of Yiddish and Yiddishkeit: the Yiddish language informed one’s sense of Jewishness. By the 1960s, doodles students left in their schoolbooks challenged this coupling of language and identity. Though it is generally supposed that Yiddish primers ultimately tell us more about the aspirations of adults than they do about the experiences of children, reading these texts together reveals that children evolved their own relationship between Yiddish and Jewishness that was far more subtle than what they encountered in their textbooks. Postwar primers emphasize maintaining the Yiddish language on American soil, to the exclusion of the external culture; children’s doodles argue that more important than preserving the language was locating Yiddishkeit in the culture around them.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".