Global Market of Highly Qualified Specialist under Pandemic Conditions
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Notice bibliographique
Résumé
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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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle