International Migration in the UNECE Region: Patterns, Trends, Policies
Bibliographic record
Abstract
The 1990s has been a turbulent decade for inter‐national migration in the UNECE region. While recorded movements have declined in recent years in Western Europe, major questions surround the frequency of unrecorded and irregular migrations which many believe are steadily increasing in number, though the evidence is problematic. Central and Eastern Europe is characterised by short‐term, short‐distance, cross‐border movement, most of which is foreconomic purposes and takes advantage of the openness of the informal sector. In North America the main thrust of immigration has long been towards permanent settlement, whereas in Europe most migration has, initially at any rate, been temporary, albeit frequently leading to settled immigrant communities. In the 1990s immigration debates in Canada and the US seem to have increasing echoes of those across the Atlantic. Especially in the US the ‘immigrationethos’ is increasingly questioned. This paper elaborates on these issues by attempting to identify what is actually happening. How important is migration? What are the patterns and trends? How significant are new and unrecordedtypes of flows? What dilemmas are presented to the managers of the UNECEmigration systems?
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".