“Enchanted with Europe”: Family Migration and European Law on Labour-Market Integration
Bibliographic record
Abstract
Abstract This chapter explores the European legal platform for alleviating the main barriers in the labor market integration of dependent family migrants in the EU. Namely, the chapter looks at the work of the European Court of Justice (ECJ) in relation to cases that involve recognition of professional qualifications and establishment of residence status. The study looks at how family reunification provisions, EU citizen status and in particular provisions for EU citizens and their family members when they move to another Member State, affect indirectly the status situation of third country nationals and their labour market integration by facilitating or hampering the recognition of their skills. This chapter is based on desk research, notably literature review (including published reports from the SIRIUS research) and analysis of legislative documents (EU Directives and ECJ case-law). We specifically look at the ECJ case-law on status and recognition and at related Directives involving family migrants. We study conditions under which the ECJ makes a decision in favour of the migrant-plaintiff. The discussion of our findings shows a complex interplay between family migration, gender bias and European law.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".