Attracting and Retaining Foreign Highly Skilled Staff in Times of Global Crisis: a Case Study of Vancouver, British Columbia's Biotechnology Sector
Why this work is in the frame
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Bibliographic record
Abstract
Abstract How cities attract and retain hard‐won foreign talent in times of economic crisis is an under‐researched theme. This paper draws on surveys of firms and allied professionals in the Vancouver biotechnology sector to examine the strategies used to attract and retain highly skilled staff over a 10‐year period up to 2012. It argues that the foreign highly skilled within Vancouver's biotechnology sector were more prone to crisis at the level of the firm than they were directly vulnerable to the global financial recession of the early 2000s and 2008. In fact, these crises required firms interviewed to become highly dependent on local and regional auxiliary professionals such as human resource managers and professional immigration attorneys, in addition to spouses, in order to retain these highly skilled foreign professionals within the host city of Vancouver. Copyright © 2015 John Wiley & Sons, Ltd.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it