Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2010, when The New Yorker published a list of twenty writers under the age of forty who were “key to their generation,” it included five Jewish-identified writers, two of whom—American Gary Shteyngart and Canadian David Bezmozgis—were Soviet-born. This publicity came after nearly a decade of English-language literary output by Soviet-born writers of all genders in North America. Soviet-Born: The Afterlives of Migration in Jewish American Fiction traces the impact of these now numerous authors—among others, David Bezmozgis, Boris Fishman, Keith Gessen, Sana Krasikov, Ellen Litman, Gary Shteyngart, Anya Ulinich, and Lara Vapnyar—on major coordinates of the Jewish American imaginary. Entering an immigrant, Soviet-born standpoint creates an alternative and sometimes complementary pattern of how the Eastern and Central European past and present resonate with American Jewishness. The novels, short stories, and graphic novels considered here often stage strikingly fresh variations on key older themes, including cultural geography, the memory of World War II and the Holocaust, communism, gender and sexuality, genealogy, and finally, migration. Soviet-Born demonstrates how these diasporic writers, with their critical stance toward identity categories, open up the field of what is canonically Jewish American to broader contemporary debates. This book is also freely available online as an open-access digital edition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it