Exploring Multilevel Issues in the Integration of Skilled International Migrants
Bibliographic record
Abstract
Recently, diversity, human resources, and international management scholars have devoted increased attention to the study of how migrants, and especially skilled migrants, are reshaping the makeup of organizations. The expanding scope of this research has brought on new and exciting research questions concerning how this influx of global talent may best be utilized and managed. At the same time, researchers are also becoming more aware of the barriers that international and ethnic minority workers face in new labor markets and organizations. With these trends as a backdrop, this symposium brings together five papers that seek to address various issues related to the integration of skilled migrants. In doing so, our goal is to offer deeper insight into the processes by which skilled international migrants may integrate (or not) into new workplaces and contexts, as well as the individual, organizational, and societal factors that may facilitate or hinder this process. This symposium will also feature an interactive component led by two discussants whose work spans the international management, global talent management, diversity, and critical management arenas. The Danish talent paradox Presenter: Dana B. Minbaeva; Copenhagen Business School Presenter: Torben Andersen; Aarhus School of Business and Social Sciences An integrative review of research on different types of global workers Presenter: Aida Hajro; WU Vienna U. of Economics and Business Presenter: Callen Clegg; WU Vienna U. of Economics and Business Presenter: Milda Zilinskaite; WU Vienna U. of Economics and Business Assessing the other: A study on recruiting practices of high-skilled ethnic minorities Presenter: Lotte Holck; Copenhagen Business School Presenter: Laurence Romani; Stockholm School of Economics Presenter: Charlotte Holgersson; KTH Royal Institute of Technology The career transition experience of skilled migrants in Canada Presenter: Roya Rashidi; York U., Toronto The comprehensive global acculturation model and research on highly skilled international migrants Presenter: Yih-teen Lee; IESE Business School
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".