No place like home: Sociocultural drivers of return migration among Israeli academic families
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
Abstract Research on return migration of the highly skilled is dominated by economic reasoning, whereas nonmaterial drivers of their repatriation are poorly understood. This study explored the journeys of 22 Israeli academic families who returned home after 3–7 years of (post)doctoral training in the United States/Canada. The migration narratives of these families, belonging to Israeli Ashkenazi elites, were interpreted using Bourdieu's concepts of cultural and social capital. Feeing alienated as immigrants in the American academia and society, most returnees reckoned that their professional potential could be maximised only at home. They manifested strong national identities, cultural and filial attachments and wanted their children to grow up Israeli. However, facing precarious Israeli realities, the informants described their return as second migration. Within 2 years, most scientists landed academic or research positions at home and were satisfied with their work lives. Their ‘trailing wives’ have typically paid a higher career tax for their American sojourn, yet no couples in the sample regretted their return decision. Thus, purely economic explanations of mobility among academics and other professionals may overlook salient sociocultural forces shaping family‐based return decisions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it