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In this paper, I summarise theory and research, highlighting the role of self-defining goals in how individuals react to and try to cope with failure outcomes. I propose that three factors are fundamental to the understanding of whether failure stimulates or impairs motivated behaviour: the relevance of failure to a self-definition, the substitutability of tasks in the service of striving for a self-definition, and a person's commitment to pursuing the respective self-definition. Focusing on students' occupationally directed self-definitions, I first review research showing how the interplay among these factors is reflected in varied measures of achievement behaviour and then discuss practical implications of the theory.  相似文献   
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Abstract

National governments have failed spectacularly to mitigate anthropogenic climate change and a sustainable approach to mitigation remains out of sight. This circumstance alone demonstrates the need for institutional reform. However, climate change is causing and will continue to cause large-scale loss and damage. Perhaps the most striking kind of that loss is territorial. Climate change induced sea level rise threatens not only vast coastal areas but also entire states. Therefore, mitigation is no longer sufficient. From the collective failure to mitigate climate change arises the collective duty to compensate. Compensating for territorial loss puts the spotlight on institutional deficiencies—which is why I explore them here. Specifically, I argue that (i) providing compensation for territorial loss is both morally required and politically advantageous and that (ii) it cannot be implemented effectively or efficiently without creating a global institution in charge of coordinating the process. Further, I (iii) make design recommendations for creating a global compensatory climate fund, (iv) situate my proposal within the debate on ideal and non-ideal theory, and (v) contend that the proposed institution would be a tool of world governance rather than a form of world government.  相似文献   
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Negative correlations between task performance in dynamic control tasks and verbalizable knowledge, as assessed by a post-task questionnaire, have been interpreted as dissociations that indicate two antagonistic modes of learning, one being “explicit”, the other “implicit”. This paper views the control tasks as finite-state automata and offers an alternative interpretation of these negative correlations. It is argued that “good controllers” observe fewer different state transitions and, consequently, can answer fewer post-task questions about system transitions than can “bad controllers”. Two experiments demonstrate the validity of the argument by showing the predicted negative relationship between control performance and the number of explored state transitions, and the predicted positive relationship between the number of explored state transitions and questionnaire scores. However, the experiments also elucidate important boundary conditions for the critical effects. We discuss the implications of these findings, and of other problems arising from the process control paradigm, for conclusions about implicit versus explicit learning processes.  相似文献   
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