2010
DOI: 10.1111/j.1749-818x.2010.00220.x
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Correlates of Language Change in Hunter‐Gatherer and Other ‘Small’ Languages

Abstract: I review linguistic and interdisciplinary research on the non‐linguistic correlates of language change, particularly as they apply to small populations, highly mobile groups, and hunter‐gatherers. I summarize the areas which have been argued to display differences between hunter‐gatherers and agriculturalists, small and large populations, and sedentary and non‐sedentary ones, although finding that none of this work is conclusive and much is contradictory. Hunter‐gatherer languages in particular have played a p… Show more

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Cited by 22 publications
(20 citation statements)
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“…The observation that rate of gain of new words is greater in larger populations is compatible with the establishment of new words by a process analogous to positive selection. An alternative explanation for this pattern is that smaller populations might have denser social networks that tend to be conservatizing, enforcing linguistic norms and resisting change (5,11,38).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The observation that rate of gain of new words is greater in larger populations is compatible with the establishment of new words by a process analogous to positive selection. An alternative explanation for this pattern is that smaller populations might have denser social networks that tend to be conservatizing, enforcing linguistic norms and resisting change (5,11,38).…”
Section: Discussionmentioning
confidence: 99%
“…However, opinions differ on both the possible mechanisms and the expected patterns (2)(3)(4)(5)(6)(7). It has been suggested that larger populations will generate more innovations and are less prone to random loss of cultural elements (8)(9)(10), but may have less efficient diffusion of innovations than smaller populations (4).…”
mentioning
confidence: 99%
“…It has been suggested that larger populations should have higher rates of language change, because populations containing more individuals provide more opportunity for innovations to arise (Richerson et al, 2009 ; Kline and Boyd, 2010 ; Baldini, 2015 ). Large populations might also be less prone to random sampling effects that can cause elements of language and culture to be lost (Shennan, 2001 ; Henrich, 2004 ; Kline and Boyd, 2010 ; Collard et al, 2013 ) and they may have less stringent norm enforcement allowing them to change faster (Bowern, 2010 ; Trudgill, 2011 ). Larger populations might also have more robust transmission systems: having more people to learn from might increase fidelity of information transition (Derex et al, 2013 ), possibly because learners in large populations have a large set of potential models to learn from (Henrich, 2004 ; Kline and Boyd, 2010 ).…”
Section: Introductionmentioning
confidence: 99%
“…Further, it has been suggested that the rate of language change may be accelerated by serial founder effects as new languages are started from relative small populations (Atkinson et al, 2008 ), which could increase the rate of loss of language elements from the ancestral language (Trudgill, 2004 ; Atkinson, 2011 ). Small speaker populations may also be more influenced by language contact through trade and marriage across groups, which might increase rates of language change (Bowern, 2010 ).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is quite unlikely that we would have developed a dedicated cognitive system in order to be able to categorize people on the basis of race-related physical properties. In the case of language, however, since linguistic variations could evolve in geographically neighboring areas, even short-distance traveling allowed contact with different speakers ( Kelly, 1995 ; Bowern, 2010 ). Hence, exposure to different languages and accents was most probably a recurrent feature in the environment of our ancestors, leading to the emergence of a cognitive system that is dedicated to categorize people on the basis of lingusitic cues.…”
Section: Introductionmentioning
confidence: 99%