Rejection‐identification and rejection‐disidentification models propose that low‐status groups identify with their in‐group and disidentify with a high‐status out‐group in response to rejection by the latter. Our research tests these two models simultaneously among multiple groups of foreign‐born people living in two cultural contexts. We examined these effects on representative samples of 2446 refugees in the Netherlands (Study 1) and 1234 voluntary immigrants in Spain (Study 2). We found that both ethnic and host national identification are ‘healthy’ and thus predominantly conducive to greater hedonic and eudaimonic well‐being. Further, perceived discrimination was associated with host national disidentification among refugees in the Netherlands and voluntary immigrants in Spain. However, our findings regarding the rejection‐identification link were less consistent. We discuss the importance of ethnic and host national identification for the well‐being of immigrants.
Our results suggest differences in lifetime frequencies of alcohol use and drunkenness between natives and first- and second-generation immigrant adolescents. Origin country APCC and HED seem to affect immigrant adolescents' alcohol consumption differently than receiving country APCC and HED.
Sustainability transition research seeks to understand the patterns and dynamics of structural societal change as well as unearth strategies for governance. However, existing frameworks emphasize innovation and build-up over exnovation and break-down. This limits their potential in making sense of the turbulent and chaotic dynamics of current transition-in-the-making. Addressing this gap, our paper elaborates on the development and use of the X-curve framework. The X-curve provides a simplified depiction of transitions that explicitly captures the patterns of build-up, breakdown, and their interactions. Using three cases, we illustrate the X-curve’s main strength as a framework that can support groups of people to develop a shared understanding of the dynamics in transitions-in-the-making. This helps them reflect upon their roles, potential influence, and the needed capacities for desired transitions. We discuss some challenges in using the X-curve framework, such as participants’ grasp of ‘chaos’, and provide suggestions on how to address these challenges and strengthen the frameworks’ ability to support understanding and navigation of transition dynamics. We conclude by summarizing its main strength and invite the reader to use it, reflect on it, build on it, and judge its value for action research on sustainability transitions themselves.
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