The Global North Goes to the Global North Minus? Intersections of the Integration of Highly Skilled, Non‐Jewish Female Partner and Spousal Migrants from the Global North in Israel
Bibliographic record
Abstract
Abstract Using Global Northern, non‐Jewish, female, highly skilled partners and spouses of Israeli Jewish citizens in Israel as a case study, and depicting their interactions with bureaucracy, integration into the labour market, gendered aspects of integration and clashes between self‐perception and ascription this paper teases out that, despite its specificity, the case of Israel allows forming conclusions about the precariousness of a class of presumed privileged migrants. The central finding is that Global Northerners experience a status deprivation, which includes deskilling and social marginalization. This nexus was experienced as limiting personal agency, which allows for questioning their presumed status of privileged migrants; it concurrently underscores the importance of the analytically difficult and diffuse nexus of personality and agency. The ethnographic data demonstrates that individuals coped with the challenges differently, suggesting that specific personalities and intra‐ and interpersonal resourcefulness underpin individual resilience thresholds.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".