The Evolution of Sustainability Ideas in China from 1946 to 2015, Quantified by Culturomics
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection
2.2. Caculations and Analysis
3. Results
3.1. Diachronically Change of Economic and Ecological Concepts
3.2. Dynamics of Hot Economic and Ecological Concepts
3.3. Mutation Rate of Economic and Ecological Concepts
3.4. Cumulative Frequency Distribution of Economic and Ecological Concepts
3.5. Turnover of Economic and Ecological Concepts
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Clark, W.C.; Dickson, N.M. Sustainability science: The emerging research program. Proc. Natl. Acad. Sci. USA 2003, 100, 8059. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Clark, W.C. Sustainability Science: A room of its own. Proc. Natl. Acad. Sci. USA 2007, 104, 173–1738. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Miller, T.R. Sustainability science. In Companion to Environmental Studies; Castree, N., Hulme, M., Proctor, J.D., Eds.; Routledge: London, UK, 2018; pp. 460–464. [Google Scholar]
- Brundtland, G.H. Our Common Future: Report of the World Commission on Environment and Development; UN-WCED: Geneva, Switzerland, 1987. [Google Scholar]
- Apetrei, C.I.; Caniglia, G.; von Wehrden, H.; Daniel, J. Lang Just another buzzword? A systematic literature review of knowledge-related concepts in sustainability science. Glob. Environ. Chang. 2021, 68, 102222. [Google Scholar] [CrossRef]
- Axelsson, R.; Angelstam, P.; Degerman, E.; Teitelbaum, S.; Andersson, K.; Elbakidze, M.; Drotz, M.K. Social and cultural sustainability: Criteria, indicators, verifier variables for measurement and maps for visualization to support planning. AMBIO 2013, 42, 215–228. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cavalli-Sforza, L.L.; Feldman, M.W. Cultural Transmission and Evolution: A Quantitative Approach; Princeton University Press: Princeton, NJ, USA, 1981. [Google Scholar]
- Boyd, R.; Richerson, P.J. Culture and the Evolutionary Process; University of Chicago Press: Chicago, IL, USA, 1985. [Google Scholar]
- Neiman, F.D. Stylistic variation in evolutionary perspective. Am. Antiq. 1995, 60, 7–36. [Google Scholar] [CrossRef]
- Shennan, S. Genes, Memes and Human History: Darwinian Archaeology and Cultural Evolution; Thames & Hudson: London, UK, 2002. [Google Scholar]
- Richerson, P.J.; Boyd, R. Not by Genes Alone: How Culture Transformed Human Evolution; Chicago University Press: Chicago, IL, USA, 2005. [Google Scholar]
- Mesoudi, A. Cultural Evolution How Darwinian Theory Can Explain Human Culture and Synthesize the Social Sciences; Chicago University Press: Chicago, IL, USA, 2011. [Google Scholar]
- Kandler, A.; Creman, E.R. Analysing cultural frequency data: Neutral theory and beyond. In Handbook of Evolutionary Research in Archaeology; Prentiss, A.M., Ed.; Springer: Cham, Switzerland, 2019. [Google Scholar]
- Prentiss, A.M. Handbook of Evolutionary Research in Archaeology; Springer: Cham, Switzerland, 2019. [Google Scholar]
- Haugen, E. The Ecology of Language. In Proceedings of the Conference Toward the Description of the Languages of the World, Burg Wartenstein, Austria, 1–8 August 1970. [Google Scholar]
- Darwin, C. The Descent of Man, and Selection in Relation to Sex; Princeton University Press: Princeton, NJ, USA, 1981. [Google Scholar]
- Petersen, A.M.; Tenenbaum, J.N.; Havlin, S.; Stanley, H.E.; Perc, M. Languages cool as they expand: Allometric scaling and the decreasing need for new words. Sci. Rep. 2012, 2, 943. [Google Scholar] [CrossRef] [Green Version]
- Ruck, D.; Bentley, R.A.; Acerbi, A.; Garnett, P.; Hruschka, D.J. Role of neutral evolution in word turnover during centuries of English word popularity. Adv. Complex Syst. 2017, 20, 1750012. [Google Scholar] [CrossRef] [Green Version]
- Pagel, M.; Atkinson, Q.D.; Meade, A. Frequency of word-use predicts rates of lexical evolution throughout Indo-European history. Nature 2007, 449, 717–720. [Google Scholar] [CrossRef]
- Newberry, M.G.; Ahern, C.; Clark, R.; Plotkin, J.B. Detecting evolutionary forces in language change. Nature 2017, 551, 223–226. [Google Scholar] [CrossRef]
- Pagel, M.; Beaumont, M.; Meade, A.; Verkerk, A.; Calude, A. Dominant words rise to the top by positive frequency-dependent selection. Proc. Natl. Acad. Sci. USA 2019, 116, 7397–7402. [Google Scholar] [CrossRef] [Green Version]
- Crow, J.F.; Kimura, M. An Introduction to Population Genetics Theory; Harper & Row: New York, NY, USA, 1970. [Google Scholar]
- Kimura, M. The Neutral Theory of Molecular Evolution; Cambridge University Press: London, UK, 1983. [Google Scholar]
- Bentley, R.A.; Shennan, S.J. Cultural transmission and stochastic network growth. Am. Antiq. 2003, 68, 459–485. [Google Scholar] [CrossRef]
- Hahn, M.W.; Bentley, R.A. Drift as a mechanism for cultural change: An example from baby names. Proc. R. Soc. Lond. Ser. B Biol. Sci. 2003, 270 (Suppl. S1), S120–S123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bentley, R.A.; Lipo, C.P.; Herzog, H.A.; Hahn, M.W. Regular rates of popular culture change reflect random copying. Evol. Hum. Behav. 2007, 28, 51–158. [Google Scholar] [CrossRef]
- Reali, F.; Griffiths, T.L. Words as alleles: Connecting language evolution with Bayesian learners to models of genetic drift. Proc. Biol. Sci. 2010, 277, 429–436. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Leroi, A.M.; Lambert, B.; Rosindell, J.; Zhang, X.; Kokkoris, G.D. Neutral syndrome. Nat. Hum. Behav. 2020, 4, 780–790. [Google Scholar] [CrossRef]
- Herzog, H.A.; Bentley, R.A.; Hahn, M.W. Random drift and large shifts in popularity of dog breeds. Proc. R. Soc. Lond. B. 2004, 271, S353–S356. [Google Scholar] [CrossRef] [Green Version]
- Bentley, R.A. Random drift versus selection in academic vocabulary: An evolutionary analysis of published keywords. PLoS ONE 2008, 3, e3057. [Google Scholar] [CrossRef]
- Dediu, D.; Cysouw, M.; Levinson, S.C.; Baronchelli, A.; Christiansen, M.H.; Croft, W.; Evans, N.; Garrod, S.; Gray, R.; Kandler, A.; et al. Cultural Evolution of Language. In Cultural Evolution: Society, Technology, Language and Religion; Richerson, P.J., Christiansen, M.H., Eds.; The MIT Press: Cambridge, MA, USA, 2012; pp. 303–334. [Google Scholar]
- Acerbi, A.; Bentley, R.A. Biases in cultural transmission shape the turnover of popular traits. Evol. Hum. Behav. 2014, 35, 228–236. [Google Scholar] [CrossRef] [Green Version]
- Sindi, S.S.; Dale, R. Culturomics as a data playground for tests of selection: Mathematical approaches to detecting selection in word use. J. Theor. Biol. 2016, 405, 140–149. [Google Scholar] [CrossRef]
- Bentley, R.A.; Hahn, M.W.; Shennan, S.J. Random drift and culture change. Proc. R. Soc. Lond. B. 2004, 271, 1443–1450. [Google Scholar] [CrossRef] [Green Version]
- ElBahrawy, A.; Alessandretti, L.; Kandler, A.; Pastor-Satorras, R.; Baronchelli, A. Evolutionary dynamics of the cryptocurrency market. R. Soc. Open Sci. 2017, 4, 170623. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Carrignon, S.; Bentley, R.A.; Ruck, D. Modelling rapid online cultural transmission: Evaluating neutral models on Twitter data with approximate Bayesian computation. Palgrave Commun. 2019, 5, 83. [Google Scholar] [CrossRef] [Green Version]
- Brand, C.O.; Acerbi, A.; Mesoudi, A. Cultural evolution of emotional expression in 50 years of song lyrics. Evol. Hum. Sci. 2019, 1, e11. [Google Scholar] [CrossRef] [Green Version]
- Evans, T.; Giometto, A. Turnover Rate of Popularity Charts in Neutral Models. arXiv 2011, arXiv:1105.4044. Available online: https://arxiv.org/abs/1105.4044 (accessed on 10 January 2022).
- Biber, D.; Gray, B. Grammatical Complexity in Academic English Linguistic Change in Writing; CUP: Cambridge, UK, 2016. [Google Scholar]
- Altmann, E.G.; Pierrehumbert, J.B.; Motter, A.E. Niche as a determinant of word fate in online groups. PLoS ONE 2011, 6, e19009. [Google Scholar] [CrossRef] [Green Version]
- Gillespie, J.H. Population Genetics: A Concise Guide; Johns Hopkins University Press: Baltimore, MD, USA, 1998. [Google Scholar]
- Wright, S. Evolution in Mendelian populations. Genetics 1931, 16, 97–159. [Google Scholar] [CrossRef]
- Hansen, A. Environment and the news media. In Companion to Environment Studies; Castree, N., Hulme, M., Proctor, J.D., Eds.; Routledge: London, UK, 2018. [Google Scholar]
- Mesoudi, A.; Lycett, S.J. Random copying, frequency-dependent copying and culture change. Evol. Hum. Behav. 2009, 30, 41–48. [Google Scholar] [CrossRef]
- Michel, J.-B.; Shen, Y.K.; Aiden, A.P.; Veres, A.; Gray, M.K.; Pickett, J.P.; Hoiberg, D.; Clancy, D.; Norvig, P.; Orwant, J.; et al. Quantitative Analysis of Culture Using Millions of Digitized Books. Science 2011, 331, 176–182. [Google Scholar] [CrossRef] [Green Version]
- Xun, E.; Rao, G.Q.; Xiao, X.Y.; Zang, J.J. Construction of BCC corpus in the context of big data. Corpus Linguist. 2016, 3, 93–109. [Google Scholar]
- Liu, J. China’s Road to Sustainability. Science 2010, 328, 50. [Google Scholar] [CrossRef]
Category | Concept 1 | Concept 2 | Concept 3 | Concept 4 | Concept 5 |
---|---|---|---|---|---|
Econ-N | 0.45 | 0.32 | 0.43 | 0.26 | 0.40 |
N-Econ | 0.28 | 0.48 | 0.29 | 0.29 | 0.61 |
Ecol-N | 0.20 | 0.30 | 0.33 | 0.20 | 0.61 |
N-Ecol | 0.25 | 0.72 | 0.36 | 0.81 | 0.68 |
Year | Nμ (Econ) | Nμ (Ecol) | N (All Phrases) | μ (Econ) | μ (Ecol) |
---|---|---|---|---|---|
1975 | 1187 | 20 | 36,589,803 | 0.00% | 0.00% |
1980 | 3117 | 437 | 45,310,424 | 0.01% | 0.00% |
1985 | 12,763 | 1985 | 60,402,011 | 0.02% | 0.00% |
1990 | 15,717 | 3043 | 63,133,238 | 0.02% | 0.01% |
1995 | 22,982 | 3630 | 63,236,892 | 0.04% | 0.01% |
2000 | 33,410 | 12,038 | 76,579,938 | 0.04% | 0.02% |
2005 | 25,313 | 21,145 | 70,794,106 | 0.04% | 0.03% |
2010 | 19,961 | 16,029 | 43,465,357 | 0.05% | 0.04% |
2015 | 22,983 | 16,425 | 42,318,024 | 0.05% | 0.04% |
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Zhang, D.; Huang, G.; Zhang, J.; Hou, X.; Zhou, T.; Chang, X.; Ge, Y.; Chang, J. The Evolution of Sustainability Ideas in China from 1946 to 2015, Quantified by Culturomics. Sustainability 2022, 14, 6038. https://doi.org/10.3390/su14106038
Zhang D, Huang G, Zhang J, Hou X, Zhou T, Chang X, Ge Y, Chang J. The Evolution of Sustainability Ideas in China from 1946 to 2015, Quantified by Culturomics. Sustainability. 2022; 14(10):6038. https://doi.org/10.3390/su14106038
Chicago/Turabian StyleZhang, Danqing, Guowen Huang, Jiaen Zhang, Xiaoyu Hou, Tianyi Zhou, Xianyuan Chang, Ying Ge, and Jie Chang. 2022. "The Evolution of Sustainability Ideas in China from 1946 to 2015, Quantified by Culturomics" Sustainability 14, no. 10: 6038. https://doi.org/10.3390/su14106038