Global Market of Highly Qualified Specialist under Pandemic Conditions
Bibliographic record
Abstract
The article examines the state of the global market of highly qualified specialists under the pandemic conditions (demand, supply, and the main areas of activity). The author points at an increased importance of such an economic resource as knowledge. In most countries there is a need for qualified, healthy, and entrepreneurial specialists. The labor force began to be evaluated not by quantity, but by quality. The author gives data on “global talent index” how to prepare and keep professionals in the largest countries of the world. This paper pays special attention to entrepreneurial talent that is being encouraged, developed, and has an impact on relative competitiveness of various economies. The author indicates intensive movements of professionals between countries because of intra-firm transitions, common programs because of professional exchange, international movements of scientific personnel. Due to digitalization scientific connections are expanding between countries and effectiveness of cooperation in the online format is increasing. The role of a student mobility is increasing in an international educational exchange as one of the forms of an international migration of highly qualified specialists. The author defines the main travel directions of scientific personnel such as the USA, western European countries, South Korea, Thailand, Hong Kong, Singapore, and others. It is established that during the pandemic restrictive measures have dramatically reduced the inflow of highly qualified specialists to all countries of the world, including Russia. There is an increase in unemployment in Canada, Norway, Spain, Sweden, the USA and in other countries. During this period, an international outsourcing becomes particularly important allowing to penetrate to the professional labor market at closed borders. As a result, start-ups in the form of online exhibitions have appeared. During the pandemic scientists, information technology specialists, engineers, teachers, and doctors have become popular. The author highlights the problems at the labor market occurred in pandemic terms and indicates an increased demand for all kinds of digital projects with the participation of Russian professionals.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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".