Babushka in the Holy Land: Being a Russian-Israeli Grandmother in Israel Today
Bibliographic record
Abstract
Despite the extensive literature about the “Great Aliyah,” the return migration from the former Soviet Union (F.S.U.) to Israel, only a few studies have dealt with the babushka (grandmother)—a central icon of Soviet culture—and her dynamic (re)configuration in the Israeli context. This paper analyzes the reshaping of the babushka—as a gendered, dynamic, and classrelated institution—in Israel, as seen through the eyes of the grandmothers themselves. For this purpose, fifteen ex-Soviet grandmothers who now live in the urban center of Israel participated in in-depth, semi-structured interviews conducted in Hebrew in 2012 and 2013. The findings suggest that the Israeli version of the babushka involves a reinterpretation by the grandmothers of the (late) Soviet legacy through the dominant norms of the host culture and the constitution of a new gender contract, thus acknowledging greater individual autonomy. They also suggest that the Israeli babushka may well be a short-lived phenomenon. That is, the impact of the Soviet heritage, detached from the dominant Soviet economic, cultural, and social institutions, may well fade away. The conclusion refers to some theoretical issues that could be relevant to family and (return) migration scholarship.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".