Rethinking Migration and Return in Southeastern Europe
Bibliographic record
Abstract
This book provides an important new analytical framework for making sense of return, remigration and circular mobility, conceptualising them as different phases of a wider migration process. Using an in-depth case study of Albania and its two main destination countries, Italy and Greece, the book demonstrates that instead of being viewed as a linear path between origin and destination, migration should be seen as a segmented, or cyclical pattern that may involve several localities and more than two countries. Characterised by important previous historical, social, economic and political linkages, geographical proximity but also high migration volatility and sustained flows in either directions, Albanian migration to Italy and Greece offers an optimal case study for analysing complex return, reintegration and mobility processes. While interesting as a unique regional migration system, the lessons learned cast light on important migration and mobility dynamics that are relevant for labour migration in Europe, also from other important migrant origin countries in the EU’s neighbourhood such as for instance Morocco or the Ukraine. This rich theoretical and empirical study will be of interest to researchers within European Studies and Migration Studies, as well as providing a useful contribution to policy debates on how to govern return migration, reintegration and circular migration. The Open Access version of this book, available at http://www.taylorfrancis.com/books/e/9780429344343, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| 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".