They Called Me Mayer July: Painted Memories of a Jewish Childhood in Poland Before the Holocaust (Kirshenblatt and Kirshenblatt-Gimblett)
Bibliographic record
Abstract
They Called Me Mayer July: Painted Memories of a Jewish Childhood in Poland Before the Holocaust is a stunning and gripping volume.The book is difficult to categorize: part art book, part memoir, part ethnography, part history; it defies and transcends conventional genres.It promises to stimulate attention across a wide array of interests and demographics.Some will flip through the book, admiring Mayer Kirshenblatt's evocative paintings of Jewish life in interwar Poland.Others will study his meticulous instructions on subjects ranging from how to harness a horse to how to make a dreydl.Still others will peruse the author's recollections of his early education in Apt, or of his emigration by steamship to Canada.My four-year old daughter, whose readings I never thought I would be referencing in an academic book review, loved the painting "Boy with Herring" and marveled at the idea of carrying home a fish wrapped in newspaper with brine dripping from the head and tail.Two generations removed, my parents both picked up the book and read it cover to cover during their week-long visit a few weeks ago.I can think of few books that could garner this much attention from such diverse readerships.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".