Beyond High-Status Expatriation: Crossing the Boundaries of Mobility For 'Other' Global Workers
Bibliographic record
Abstract
The conference theme asks some big questions: How can organizations contribute to the betterment of society through elevating the health and well-being of those who live in it? What role can organizations play in positively affecting the physical, psychological, social, and financial health of individuals, groups, communities, countries, regions, or global society? Key to being able to do that is ensuring that our research covers all people in organizations and recognizing that all play a part. We cannot answer the big questions if we exclude people who do not fit into our usual conceptions and assumptions about who it is that organizations employ. Specifically, we need to encompass all levels of skill, hierarchy, and status. In this symposium, we address this issue in terms of international human resource management. The symposium will argue that despite their large numbers, we lack a comprehensive understanding of the specific challenges faced by four types of 'other' global workers - low- status expatriates, migrants, expatriate international business travellers, and short-term assignees - all members of the global workforce whose lives can be improved by organizational actions that includes them in employers’ global human resource policies. We bring together a diverse group of international scholars with the goal of clarifying constructs, exploring boundaries, and widening the debates about international mobility in the management field. The four papers to be presented focus on these under-researched aspects of internationally mobile workers, with the goal of contributing to understanding their situation and concerns, their management issues, and how improving their health and well-being will contribute to the betterment of society. Beyond the Bubble of High-Status Expatriation - Considering Other Global Workers Presenter: Chris Brewster; Henley Business School, U. of Reading Presenter: Yvonne McNulty; Singapore U. of Social Sciences Expatriation at the Bottom of the Pyramid - Organisational (In)Justice and Low-Status Expatriate Presenter: Washika Haak-Saheem; U. of Dubai Presenter: Gaye Özçelik; Istanbul Bilgi U. Expatriation and Migrants: Pathways to Organizational Integration of Skilled Migrants Presenter: Jelena Zikic; York U. Presenter: Roya Rashidi; York U., Toronto Presenter: Jaime Bonache; U. Carlos III de Madrid Expatriate International Business Travellers: Extreme Forms of Global Work Presenter: Yvonne McNulty; Singapore U. of Social Sciences Presenter: Liisa Makela; U. of Vaasa Short-Term Expatriation: Advantages and Disadvantages for Organisations and Short-Term Assignees Presenter: Vesa Suutari; U. of Vaasa Presenter: Chris Brewster; Henley Business School, U. of Reading
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.016 |
| Scholarly communication | 0.021 | 0.020 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".