论《金人铭》的产生时代

《金人铭》产生的时代应该是战国末年至汉代初年,这有以下几个方面的证据:1.《金人铭》的内容与黄老学派关系密切,应该是黄老思想流行后的产物,不可能产生于孔子时代。2.《金人铭》的内容性质与战国以前的青铜器铭文的特征不符。3.《金人铭》把孔子入周观书和孔子入太庙二事混合在一起,露出了破绽。4.《金人铭》称“三缄其口”,而“缄”字在可靠的先秦文献中无“闭口”义。“缄”的本义为捆箱箧的绳索,“缄”有“闭口”义是西汉才有的现象。     

论翻译的技巧、理想、标准及其形成过程--兼析作为《论不可译性》之理论前提的康德先验哲学观

怎样才能提升翻译研究的理论水平?进行翻译理论研究是不是必须诉诸康德的先验哲学框架?本文认为,作为王宾教授所谓“不可译性”之理论前提的康德哲学“经验VS先验”的基本观点,其实并不适合于进行翻译理论研究;实际上,这里的根本问题是“翻译的实际经验性行为”与“翻译标准”之间的关系。只有从我自己构建并逐渐完善的社会个体生成论的角度出发,把翻译研究所涉及的历时性维度与共时性维度有机结合起来,正确处理翻译技巧、翻译理想和翻译标准之间的关系,我们才能正确地认识“翻译标准”及其形成过程,从而使之发挥适当的作用,达到逐步提高翻译理论研究水平的目的。     

文本加工中情境模型建构的五个维度

情境模型理论是当代西方文本阅读加工的一个重要理论。该文通过详细介绍情境模型建构的空间、时间、因果、主人公、意图五大维度,以助于对情境模型理论整体理解。通过总结可知,目前国内外关于情境模型建构中的空间、因果和主人公三个维度的研究成果较多,研究范式也较为成熟,时间和意图维度则研究成果较少     

相关维度数量对两种结构类别学习的影响

在多重系统理论研究基础上,运用即时反馈训练范式,以大学生为被试,考查相关维度数量对基于规则和信息整合两种结构的类别学习的影响.结果表明:(1)相关维度数量是影响类别学习的重要因素,基于规则单维度结构的学习显著优于信息整合结构和基于规则双维度结构的学习,基于规则双维度结构的学习与信息整合结构的学习没有显著差异.(2)反应策略受到规则复杂性的影响,当类别结构中隐含的规则比较简单时,学习者使用规则策略;当类别结构中隐含的规则比较复杂时,学习者难以掌握规则,就会使用相似性策略.研究结果支持"难度观",而不支持多重系统理论.     

3～5岁幼儿在主题-规则冲突条件下的类比推理

本研究采用经典类比任务,考察了3～5岁幼儿在主题-规则冲突条件下类比推理发展的水平与特点.结果表明:(1)在无主题联想条件下,幼儿的单维类比推理在3～4岁迅速发展,4～5岁发展较为平缓,而双维类比推理在3～5岁仍处于较低水平.(2)在主题—规则冲突条件下,幼儿在单维类比推理中表现出一定的主题联想优势反应;幼儿在双维类比推理中表现出较强的主题联想优势反应,年龄特点为:3岁幼儿有较强的主题联想优势反应,4岁幼儿的主题联想优势反应明显下降,而5岁幼儿又表现出较强的主题联想优势反应.     

初一学生人格特征、学习适应性与学习成绩关系的研究

以《中学生个性测验量表》和《学习适应性测验量表》为研究工具,以320名初一学生为被试,探讨初一学生个性因素、学习适应性与学习成绩的关系。结果发现,初一学生的个性特征、学习适应性与学习成绩都存在一定的相关关系;初一学生的个性因素中自控及情绪性因素和智力性因素对其学习成绩具有更好的预测作用,学习适应性因素中学习期望和家庭环境对其学习成绩具有较好的预测作用;研究同时认为,个性特征与学习适应性对初一学生学习成绩的影响可能是非常有限的。     

数量化维度特征搜索的影响因素探索

有关数量化维度特征搜索的研究表明 ,目标搜索斜率 (反应时间对呈现项目数量函数的斜率 )是由目标与干扰子之间的差异决定的 ,然而以往研究中其差异的值取决于具体的实验条件。根据韦伯定律 ,笔者推测 ,目标搜索斜率应由目标与干扰子之间的相对差异 (C)决定 ,C为目标值 (T)与干扰子值 (D)的差值与该干扰子值的比值。当C值对应相等时 ,不同几何形状刺激的目标搜索斜率应无差异。为此笔者分别采用圆 (实验一 )和三角形 (实验二 )进行实验研究。实验结果支持了上述假设 ,并发现目标大于干扰子时的目标搜索斜率对C值的函数是单调递减函数     

Transfer of hue matching in pigeons.

Pigeons were trained on a modified three-key matching-to-sample procedure, in which only one comparison key (rather than two) was lighted after an observing response to the center-key standard. Pecks on keys of matching comparison hues were reinforced. When non-matching hues appeared as the initially lighted comparisons, the nonmatching hue terminated and the matching hue appeared on the other side key only if the pigeon did not peck the nonmatching comparison for 4.8 sec. Pecks to the nonmatching hue reset the 4.8-sec delay interval. Three hues were used during acquisition. During transfer tests, two novel hues were substituted individually or together for one or two of the training hues. Latencies to the novel side-key hue were shortest when a novel matching hue appeared as the standard on the center key, and were essentially identical to baseline matching latencies. In contrast, when a novel hue appeared as either a standard or comparison in a nonmatching combination, latencies increased with increasing separation between the noevel hue and the nonmatching hue. These transfer data demonstrate the concept of hue matching.     

超越效价和唤醒—— 情绪的动机维度模型述评

情绪的动机维度模型认为, 高动机强度的情绪窄化(narrow)认知加工而低动机强度的情绪扩展(broaden)认知加工。该理论超越了先前对效价和唤醒两大情绪维度的二分法, 证明了情绪的动机维度对注意、记忆等认知加工产生扩展和窄化效应, 深化了积极情绪的扩展-建设理论, 有助于深入理解情绪与认知的交互作用。未来研究应建立动机维度的操作性定义, 并进一步发展出诱发不同动机维度情绪的标准化刺激材料或任务。     

Data, model, conclusion, doing it again

This paper explores the robustness of conclusions from a statistical model against variations in model choice (rather than variations in random sampling and random assignment to treatments, which are the usual variations covered by inferential statistics). After the problem formulation in section 1, section 2 presents an example from Box and Tiao in which variation in parent distribution is modeled for a one sample location problem. An adaptive Bayesian procedure permits to use a weighted mixture of parent distributions rather than choosing just one, such as a normal or a uniform distribution.In section 3 similar considerations are applied to an event history model for the influence of education and gender on age at first marriage, but here the conclusions are hardly influenced by the choice of the duration distribution. In section 4 a brief discussion of model choice in factor analysis and structural equation models is followed by a more elaborate treatment of the choice of integer valued slopes for item response functions in the OPLM model which is an extension of the Rasch model. A modest simulation study suggests that Adaptive Bayesian Modeling with a mixture of sets of slopes works better than fixing one set of postulated slopes.The paper concludes with some remarks on the roles and sources of prior distributions followed by a short epilogue which argues that simultaneous consideration of a class of models for the same data is sometimes superior to exclusively analyzing the data under one specific model chosen from such a class.This article is based on the Presidential Address Ivo W. Molenaar gave on June 20, 1998 at the 1998 Annual Meeting of the Psychometric Society held at the University of Illinois in Champaign, Illinois. Thanks is given to John Wiley & Sons and George C. Tiao for granting permission to reprint three figures from the book George C. Tiao wrote with George E. P. Box titled Bayesian Inference in Statistical Analysis.—EditorThanks are due to Anne Boomsma, Jeffrey Hoogland, Mark Huisman, Tom Snijders, Marijtje Van Duijn, and Norman Verhelst for suggesting improvements and/or assisting with data analyses.