Socio-Economic Integration of Refugees from Ex-Yugoslavia into the US Society
Bibliographic record
Abstract
The United States and many other developed countries have been built on immigration. Refugees and immigrants in all their roles make indispensable contributions to American economy and they compose an increasingly essential part of the US workforce.However, the influx of more migrants in search of safety, better life and work in the developed world continues to create deep social and political cleavages. The refugee group that will be the focus of interest in this paper are Ex-Yugoslavs living in Boston area,primarily those coming from the war stricken regions such as Bosnia and Herzegovina, Croatia and Serbia. The wars in ex-Yugoslavia took place in the period of 1991 to 2002, ending with the conflicts in Kosovo and Macedonia. The said crisis has generated massive flows of refugees that went in one part to Western Europe and for the other to the US, Canada and Australia. My aim is to find out how these refugees accommodate to the new environment, what are the best practices and main obstacles that facilitate or hinder their everyday life and integration into the new society.
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 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".