THE EFFECT OF THE KOREAN NUMBER SYSTEM ON YOUNG CHILDREN'S COUNTING: A NATURAL EXPERIMENT IN NUMERICAL BILINGUALISM

In Korea, two number systems are in simultaneous use. One is somewhat irregular (like the English language number system), and the other regular (similar to the Chinese number system). This natural experiment allows a direct test of the hypothesis that structural regularity of the number system facilitates the acquisition of counting. Korean children initially suffer from their numerical ‘bilingualism’: they find it difficult to learn two counting systems at the same time. Yet, after this initial difficulty, they soon master the generative rules which are transparent in the regular system. The cognitive advantage provided by the regular number system then combines with other factors, like intensive teaching and parental pressure, to produce school achievement in mathematics superior to US children's.     

Death by 1000 ‘true fans’: Do marketing laws apply to music listening?

The advice to musicians and marketers is to focus on what they love: a truism for practitioners is to find 1000 ‘true fans’ and make $100 from each of them (Kelly, 2008. 1000 True fans. The Technium). If this advice is correct, we should see musicians with loyal user bases engaging more with their favourite artists and less with other music, suggesting a narrow targeting strategy would suffice. On the other hand, the established marketing laws indicate that the listeners of very different genres should overlap more than conventional wisdom would suggest, supporting the need for a much broader approach to targeting potential audiences. Given these conflicting views, musicians need to know if they should market to their existing listeners, the listeners of music similar to theirs (i.e., the same genre), or if they should try to reach a much wider audience. We turn to established choice patterns from the marketing literature to address these questions in the music context. This study examines 84,000,000 observations of music listening from 27,000 unique global users between 2013 and 2014 and survey data from 2019 containing music listening from over 1000 representative respondents in the United States. The results show that listening follows the Duplication of Purchase law for genres, artists, albums, and songs, at an annual, 6-months, 3-months, 1-month, and 1-week period, with no indication of partitioned music listening. The implication is that musicians should try to reach all potential listeners, regardless of what they already listen to. These findings contribute to the theoretical knowledge about duplication analyses of various durations, extend the contexts of choice behaviour that exhibit this pattern, and managerially, to knowledge about the extent of potential audiences and ‘share of ear’ competition.     

Stop the blame game: An analysis of blaming on Weibo during the early days of the COVID-19 pandemic in rice and wheat areas in China

In the pandemic era, social media has provided the public with a platform to make their voice heard. One of the most important public opinions online during a pandemic is blame. Blame can lead to stigma towards patients as well as potential patients and decrease social cooperation, which might impede prevention and control measures during epidemics. Thus, studying online blame during the early days of COVID-19 can facilitate the management and control of future pandemics. By analyzing 3791 posts from one of the most popular social media sites in China (Weibo) over the 10 days immediately after COVID-19 was declared to be a communicable disease, we found that there were four main agents blamed online: Individuals, corporations, institutions, and the media. Most of the blame targeted individual agents. We also found that there were regional-cultural differences in the detailed types of blamed individual agents, that is, between rice- and wheat-farming areas in China. After controlling influence of distance from the epicenter of Wuhan, there were still stable differences between regions: people in wheat areas had a higher probability of blaming agentic, harmful individuals, and people in rice areas had a higher probability of blaming individuals with low awareness of social norms for preventive health behavior. Findings have implications for preventing and predicting blame across cultures in future pandemics.     

动词语义和句子语法对代词加工的影响

考察了动词语义和句子语法对代词加工的影响．结果表明,动词语义是影响代词理解的一个因素;相同语法功能假设尚需进一步验证,研究者还提出代词理解受社会文化因素影响的假设。     

3─6岁儿童传递性关系推理的研究

设计三种情境考察被试的推理情况,并试图揭示儿童是怎样进行传递性关系推理的。结果显示：（１）３—６岁儿童具有进行传递性关系推理能力;（２）造成我国３—６岁儿童作传递性关系推理失败的原因有二：一是错误理解比较句式,二是没有记住前提;（３）３—６岁儿童进行传递性关系推理的内部过程不同：小年龄段被试多采用“局部加工模式”,大龄段被试多采用“整体空间加工模式”。     

入手术室时的情绪状态和某些心理、生理机能的联系及其和针麻效果的关系

情绪活动和某些生理机能或心理过程的关系很久以来就已进行过大量的研究。外科手术前患者的情绪状态及其相应的生理机能的变化,也曾受到注意。患者在意识清醒状态下进行针麻手术,他的情绪状态对针麻过程及其效果的作用如何,这种情绪状态和某些心理、生理机能有什么联系?这是针麻临床上和理论上应予探讨的问题之一。本工作试图综合分析患者的情绪状态和与之伴随的某些生理生化指标变化,以探讨     

关于奥斯汀的"我知道"的重新思考

1946年,为了阐明"他心是否可知"这个问题,哲学界以维斯道姆(John Wisdom)、奥斯汀(J.L Austin)和艾耶尔(A.J.Ayer)三大哲学家为首展开了一场热烈的讨论.     

情感计算技术如何推动犯罪风险评估工具的发展？

摘 要 随着近年来人工智能深度学习技术的发展,情感计算与人格计算技术日渐成熟,在许多实际应用场景中取得了良好的表现,当前人工智能情感计算技术应用于犯罪风险评估领域,能够有效解决目前主流的风险评估工具难以解决的个体内差异性的预测因子评估问题以及被测评参与者因社会赞许性而导致结果失真的问题。本文在详细阐述目前主流评估工具的局限性基础上,详细阐述了以情感计算技术为支撑的动态风险评估工具的设计思路、目前已有的技术方案以及设计细节的理论依据,在此基础上最后提出以人工智能技术为支撑的新型评估工具的未来发展方向。     

矛盾年龄偏见量表在中国大学生群体中的修订及信效度检验

目的：修订矛盾年龄偏见量表(the Ambivalent Ageism Scale, AAS),并在中国大学生群体中进行信、效度检验。方法：对1182名大学生施测AAS中文翻译版,探索并验证其因子结构,分析信、效度和测量等值性。其中347人还完成老化知识量表(FAQ)和容纳他人量表(AOS),用以检验AAS中文版的校标关联效度。另有74人在4周后重测AAS中文版。结果：AAS中文修订版包含认知帮助/保护、不想要的帮助和敌意年龄偏见三因子,总量表和各维度的Cronbach’s α系数依次为0.83、0.80、0.85、0.76,重测信度依次为0.78、0.62、0.78、0.71。AAS中文修订版及各维度与FAQ和AOS负相关(r=-0.23～-0.48,ps<0.001)。验证因素分析表明AAS中文修订版的拟合良好(χ²/df=3.51,CFI=0.96,TLI=0.94,RMSEA=0.07,SRMR=0.05)。且该量表跨性别形态、弱等值、部分强等值和部分严格测量等值成立。结论：修订后的矛盾年龄偏见量表(AAS)中文版的信、效度良好,具备跨性别的测量部分...