Bibliographic record
Abstract
The story begins with a grandfather who heroically escaped from Russia by swimming the Pruth River to Romania—or did he? Then there are stories of another grandfather who kept a lifelong mistress; grandmothers who were ignored except in the kitchen; migrations legal and illegal from Eastern Europe to Canada to California; racketeers on one side of the family and Communists on the other; and a West Coast adolescence in the McCarthy years. All of these (mostly true) stories form a Jewish family's history, a tale of dislocation and assimilation. But in the hands of award-winning historian Robert Rosenstone, they become much more. The fragments of memory so beautifully preserved in The Man Who Swam into History add unforgettable, human characters to the now familiar story of the Jewish diaspora in the twentieth century. This combination memoir/short story collection recounts the Rosenstone family's passage from Romania to America. Robert Rosenstone tells the story not as a single, linear narrative, but through "tales, sequences, windows, moments, and fragments resurrected from the lives of three generations in my two parental families, set in five countries on two continents over the period of almost a century." This more literary and personal approach allows Rosenstone's relatives to emerge as distinct personalities, voices who quarrel and gossip, share their dreams and fears, and maintain the ties of a loving, if eccentric, family. Among the genre of "coming to America" tales, The Man Who Swam into History is a work of unique vision, one that both records and reconstructs the past even as it continuously—and humorously—questions the truth of its own assertions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".