No place like home: Sociocultural drivers of return migration among Israeli academic families
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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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".