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Enregistrement W4408439131 · doi:10.1162/asep_a_00938

Comments by Zhao Chen, on Quest for Talents: Attraction and Retention of Highly Skilled Overseas Chinese in the United States and Canada

2025· article· en· W4408439131 sur OpenAlex

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Notice bibliographique

RevueAsian Economic Papers · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueInternational Student and Expatriate Challenges
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAttractionChenPsychologyPolitical scienceEconomicsPhilosophy

Résumé

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Zhao Chen: This paper addresses a very important topic. Overseas Chinese is a highly representative group of international immigrants worldwide who have contributed significantly to the development of high-tech sectors in developed countries. High-level talents of overseas Chinese returnees are also crucial for developing countries since they bring to their home country advanced know-how of technology embedded with their human capital. As a result, both attraction and retention of highly skilled overseas Chinese are important factors that policymakers should know, as they would reshape the spatial allocation of human capital of high-level talents.It is also a timely discussion on the recent situation about overseas Chinese since the situation for Chinese individuals in North America has become increasingly challenging in recent years. Meanwhile, the Chinese government has become more and more eager to attract high-level talent from overseas. So, given this situation, it is quite interesting to discuss the attraction and retention of highly skilled overseas Chinese in developed countries such as the United States and Canada.The authors have conducted a survey of overseas talents at the micro-level based on two questionnaires. I have some concerns about the representativeness of the data. First, I have to say that the sample is quite limited, making it difficult to judge if the findings are robust or not. Additionally, as we can see from the paper, most of the returnees are quite satisfied with their career or income—one possible concern is whether the sampling method makes the sample biased toward those with a higher satisfaction level. For example, those who are not satisfied might be inactive in social interactions and, as a result, are less likely to be covered by the survey.Nevertheless, the data is unique and provides a comprehensive view of both push and pull factors of Chinese overseas’ returning home country. Thus, it is possible to evaluate various factors associated with the career and income satisfaction of Chinese returnees, such as talent policy, marriage, food, and so forth. However, although it is interesting to know various factors that relate to the satisfaction of Chinese returnees, I still suggest that in the empirical work, the authors have a clear focus on some main factors.I assume that most readers will be quite interested in the role of the talent policy in attracting Chinese overseas. However, “talent policy” is a subjective measure in this paper, which indicates whether the returnee thinks a talent attraction policy is one of the main reasons for settling and developing their career at the destination. I would suggest that, in future studies, the authors could think about collecting data measuring local talent attraction policies at the city level and investigate whether such policies are effective in Chinese returnees’ locational choice of their destination when they want to settle down from overseas to mainland China. Of course, that would be another paper.In sum, I would say that this is an interesting paper although the data is quite limited. I hope it will attract a lot of interest and further discussion as well as studies on this topic.

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Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,245
Score d'incertitude au seuil0,445

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,288
Écart entre enseignants0,279 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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