Contemporary approaches suggest that emotions are shaped by culture. Children growing up in different cultures experience culture-specific emotion socialization practices. As a result, children growing up in Western societies (e.g., US or UK) rely on explicit, semantic information, whereas children from East Asian cultures (e.g., China or Japan) are more sensitive towards implicit, contextual cues when confronted with others’ emotions. The aim of the present study was to investigate two aspects of preschoolers’ emotion understanding (emotion recognition and emotion comprehension) in a cross-cultural setting. To this end, Singaporean and German preschoolers were tested with an emotion recognition task employing European-American and East Asian child’s faces and the Test of Emotion Comprehension (TEC; Pons et al., 2004). In total, 129 German and Singaporean preschoolers (mean age 5.34 years) participated. Results indicate that preschoolers were able to recognize emotions of child’s faces above chance level. In line with previous findings, Singaporean preschoolers were more accurate in recognizing emotions from facial stimuli compared to German preschoolers. Accordingly, Singaporean preschoolers outperformed German preschoolers in the Recognition component of the TEC. The overall performance in TEC did not differ between the two samples. Findings of this study provide further evidence that emotion understanding is culturally shaped in accordance with culture-specific emotion socialization practices. © 2022, The Author(s).

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Existing migration research has framed ‘middling migrants’ mainly in terms of transnational fluidity and flexibility, thus overlooking the issue of integration. This article adds to a burgeoning scholarship advocating a more locally embedded perspective (e.g. Meier, 2015b. Migrant Professionals in the City: Local Encounters, Identities, and Inequalities. New York and London: Routledge) by investigating the integration of immigrant teachers working in mainstream primary and secondary schools in the Asian city–state of Singapore. It is found that these immigrant teachers faced differentiated formal inclusion with respect to legal settlement, whereas their professional integration experiences also diverged between those who embodied certain ‘mainstream’ characteristics and those who did not. In negotiating professional integration, ‘non-mainstream’ immigrant teachers adopted a spectrum of strategies, but on the whole prioritised the pragmatic imperative to ‘fit in’, resulting in what may be termed muted diversification. In terms of broader ethnic and migration scholarship, this account serves to highlight the ways in which locally specific institutional and sociocultural conditions differentially shape middling migrants’ experiences in respect to settlement and work. With regard to the Singaporean context, this article fills an empirical gap in migration research while also reflecting on the accommodation and management of diversity in education. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Singapore is known for differentiating highly skilled and low-skilled migrants by regulating their social rights, employment, and pathways to permanent residency and citizenship. Since 2009, the city-state has made further differentiation between highly skilled migrants and natives, that is, native-born citizens. Existing studies on migrant differentiation mostly adopt a state-centric perspective. We argue that differentiation is also driven by forces from below. We introduce the concept of differential fairness to capture natives’ justification for differentiation between themselves and migrants, particularly the highly skilled. Drawing on survey data and in-depth interviews with natives and Chinese and Indian migrants, we show that natives demand for preferential policies to protect their interests. We further reveal that the measures of differentiation have created an integration dilemma, in which natives and migrants hold divergent views on fairness and expectations of migrant integration. © Scalabrini Migration Center 2022.