scholarly journals Editorial: The Adaptive Value of Languages: Non-linguistic Causes of Language Diversity

2018 ◽  
Vol 9 ◽  
Author(s):  
Antonio Benítez-Burraco ◽  
Steven Moran
2007 ◽  
Author(s):  
Delroy L. Paulhus ◽  
Aliye Kurt ◽  
Jennifer D. Campbell
Keyword(s):  

Author(s):  
C.J.W. Baaij

The task that EU Translation needs to accomplish originates from the combined policy objectives of legal integration and language diversity, which in turn rest on two EU fundamental principles: the advancement of a European Internal Market and the respect and protection of Europe’s cultural diversity, respectively. However, a comparison of language versions of EU legislation in the field of consumer contract law illustrates the ways in which the multilingual character of EU legislation might hamper the uniform interpretation and application of EU law. It articulates why pursuing effective legal integration and protecting language diversity requires EU translators and lawyer–linguists to accomplish absolute concordance between language versions.


Author(s):  
Bahador Bahrami

Evidence for and against the idea that “two heads are better than one” is abundant. This chapter considers the contextual conditions and social norms that predict madness or wisdom of crowds to identify the adaptive value of collective decision-making beyond increased accuracy. Similarity of competence among members of a collective impacts collective accuracy, but interacting individuals often seem to operate under the assumption that they are equally competent even when direct evidence suggest the opposite and dyadic performance suffers. Cross-cultural data from Iran, China, and Denmark support this assumption of similarity (i.e., equality bias) as a sensible heuristic that works most of the time and simplifies social interaction. Crowds often trade off accuracy for other collective benefits such as diffusion of responsibility and reduction of regret. Consequently, two heads are sometimes better than one, but no-one holds the collective accountable, not even for the most disastrous of outcomes.


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