母语流失中个人背景变量的复杂动态系统视角

Conny Opitz
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引用次数: 3

摘要

本章讨论了从复杂动态系统理论(CDST)的角度研究母语(L1)流失中个人背景变量的方法论挑战。它首先回顾了现有的研究,尽管人们齐心协力设计了严格的、可比较的研究,但到目前为止,这些研究还没有发现强有力的、明确的L1损耗预测因素。我认为,这种失败在于语言作为一个复杂的动态系统的本质,因此在于变量的属性,它们的相互作用,以及对L1消耗的过程和结果的不同贡献,以及在多语言发展的更大背景下对L1和L2(第二语言)习得的不同贡献。CDST不仅对人员流失的常见经验和分析方法提出了挑战,而且对“预测器”的概念也提出了挑战。本章最后讨论了克服目前僵局的一些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Complex Dynamic Systems Perspective on Personal Background Variables in L1 Attrition
This chapter discusses the methodological challenges associated with studying personal background variables in first language (L1) attrition from the perspective of Complex Dynamic Systems Theory (CDST). It starts with a review of extant research which, despite concerted efforts to design rigorous, comparable studies, to date has not turned up strong, unambiguous predictors for L1 attrition. I argue that this failure lies in the nature of language as a complex dynamic system, and consequently in the properties of variables, their interaction, and varying contribution to the process and outcome of L1 attrition, and indeed to L1 and L2 (second language) acquisition in the larger context of multilingual development. CDST provides a challenge not just for common empirical and analytical approaches to attrition, but for the very notion of ‘predictor’. The chapter concludes by discussing some ways in which the current stalemate may be overcome.
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