Navigating complexity: From cultural critique to cultural intelligence

Navigating complexity: From cultural critique to cultural intelligence
复制标题

DOI:
10.1080/10304312.2011.617873
复制
发表时间:
2011-01-01
影响因子:
0.8
通讯作者:
Ang, Ien
Ang, Ien
中科院分区:
人文科学4区
文献类型:
--
作者:
Ang, Ien

文献摘要

被引文献

相似文献

这个世界是极其复杂的,这是全球文化经验的一个重要组成部分,这种情感结构在21世纪变得更加普遍。我们如何找到应对我们这个时代复杂挑战的方法?作为文化研究者,我们在这一任务中能扮演什么样的角色?在过去的几十年里,许多人文和社会科学的学术研究已经接受了复杂性,以至于对复杂性的追求(例如在学术理论化中)本身已经成为目的,成为文化批判产生的关键因素。在这篇文章中,我认为,如果我们希望从事与现实世界需要处理复杂的现实,文化研究必须超越解构主义的文化批判,并朝着我所说的“文化智能”。要对世界上的复杂问题制定复杂和可持续的对策,就必须认识到复杂性,这不是因为复杂性本身,而是因为简单化的解决办法是不可持续的或适得其反的。与此同时,文化智慧也认识到需要简化,以对抗复杂性的瘫痪效应。发展简化不应等同于过分简化。虽然简单化等同于一种简化论,它可以免除复杂性,但简化使我们能够通过复杂性绘制一条路线。简单地说,一个人如何简化而不简单化?
That the world is terribly complex is now a vital part of global cultural experience, a structure of feeling which has grown more pervasive in the 21st century. How do we find ways of navigating the complex challenges of our time? And what role can we, as cultural researchers, play in this task? Much humanities and social science scholarship in the past few decades has embraced complexity, so much so that the pursuit of complexity (e.g. in scholarly theorizing) has become an end in itself, a key element in the production of cultural critique. In this essay, I argue that if we wish to engage with the real-world need to deal with complex realities, cultural research must go beyond deconstructive cultural critique and work towards what I call 'cultural intelligence'. The development of sophisticated and sustainable responses to the world's complex problems requires the recognition of complexity, not for complexity's own sake, but because simplistic solutions are unsustainable or counter-productive. At the same time, cultural intelligence also recognizes the need for simplification to combat the paralyzing effects of complexity. Developing simplifications should not be equated with being simplistic. While being simplistic is tantamount to a reductionism which dispenses with complexity, simplification allows us to plot a course through complexity. To put the question simply, how does one simplify without being simplistic?