“大五”人格模型及其在工业与组织心理学中的应用

“大五”是涵盖人格的5个因素的简称,它包括：神经质、外向性、开放性、宜人性和责任感。在介绍了该模型的基础上,文章重点介绍了它在工业与组织心理学中的应用,即“大五”可以有效的预测工作绩效、工作动机、领导行为、创造性行为和工作满意感等。     

社会价值取向对自我社会奖赏加工的影响——来自ERPs的证据

社会价值取向(Social Value Orientation, SVO)是相互依存情境下人们对自己和他人分配结果的一种稳定的社会偏好,按SVO不同可以将个体分为"亲社会取向"和"亲自我取向"个体。已有研究表明SVO影响个体对涉及自我金钱奖赏的结果评价加工,而它如何影响自我社会奖赏加工过程尚不明确。本研究让亲社会取向和亲自我取向被试完成涉及自我社会奖赏(包含社会接纳和自我成就感)的猜牌建议给予任务,同时记录其加工他人对建议的反馈(接受vs.拒绝)和他人最终结果(收益vs.损失)时诱发的脑电成分。结果发现,在建议反馈加工阶段,相比亲自我取向个体,亲社会取向个体在反馈相关负波(FRN)波幅(峰-峰值)和P3平均波幅上,建议被对方接受和被对方拒绝所诱发的波幅差异均显著;在他人最终结果加工阶段,建议被对方拒绝后,对于亲社会取向个体,对方损失诱发的反馈相关负FRN波幅比对方收益诱发的波幅更负,而对方损失诱发的P3波幅小于对方收益诱发的波幅;对于亲自我取向个体,对方损失与收益诱发的FRN波幅无差异,对方损失诱发的P3波幅显著大于对方收益诱发的波幅。这些结果表明社会价值取向调节个体对自我社会奖赏的加...     

Resource availability hypothesis: Perceived financial and caloric status affect individuals' height preferences for potential partners

Height is an important concern in human mate choices. Prior research indicates that people who live in areas with abundant resources differ from those who live in areas with scarce resources regarding height preferences. Based on a health‐maximizing principle, we propose a resource availability account for such differences. Compared with women's height preferences, men's height preferences are hypothesized to be more dependent on either financial or caloric resource availability. Specifically, taller females would be more preferred by males who are poor in resources than those who are rich in resources. Results from three studies supported these hypotheses. In Study 1, men from remote areas of China who had lower family income preferred taller women more than those from eastern China who had higher family income. In Study 2, men who were financially dissatisfied preferred taller women more than those who were financially satisfied. In Study 3, men with low caloric status preferred taller women more than men with high caloric status. In addition, women's height preferences in Studies 1, 2 and 3 were less determined by resource availability. These findings suggest that height preferences are changeable, depending on financial or caloric status.     

亲密关系中的客体化研究

客体化理论提出,女性在成长过程中经历了被他人凝视、在人际交往中被强调外表的重要,以及媒体信息对女性性吸引力的突出等信息,这些直接或者间接的因素导致了部分女性接受以“第三者”的观察视角来看待自己,看重自身的生理功能而忽视了个人能力。当这种性客体化内化之后,其结果就是自我客体化。自我客体化会造成如抑郁、焦虑、身体羞耻感等情绪问题; 进食障碍以及与性行为相关的行为障碍。最新的研究在此基础上对研究对象以及研究范围进行了扩展:在研究对象上,从女性群体扩展到男性群体,从异性恋群体扩展到同性恋群体; 在研究范围上,从性客体化扩展到去人性的工具客体化。未来的研究需要从文化差异、性别趋同和配对研究三个方向进一步探讨亲密关系中的客体化形成的内在机制及其影响因素。     

学习十九届五中全会精神(笔会)

党的十九届五中全会通过了《中共中央关于制定国民经济和社会发展第十四个五年计划和二〇三五年远景目标的建议》,开启了全面建设社会主义现代化国家新征程。会议鼓舞人心,引人深思,催人奋进。由教育部人文社会科学重点研究基地李萍所长倡议,中山大学马克思主义哲学与中国现代化研究所暨哲学系、广东哲学学会、广东伦理学学会、广东马克思主义学会、现代哲学杂志社,联合组织了以“新时代·新理念·新格局”为主题的“学习贯彻党的十九届五中全会精神”的视频会议,哲学界尤其是马克思主义哲学专业近二十位专家与会,交流学习心得,共商学术大是。这里刊登部分发言。本刊后续还将组织此一主题的专栏文章。     

情感韵律在真假句子加工上的差异：来自ERPs的证据

采用事件相关电位(ERP)技术探讨语义-情感韵律的神经生理机制。六种基本情绪类型的韵律分两种条件呈现给被试,即假句子的韵律预期偏差条件和真句子的语义-韵律预期偏差条件。研究结果表明两种预期偏差是纯粹的价独立,无论情感价正性还是负性都会得出相同的ERP效应;六种情感韵律都诱发了右单侧化的ERP正波效应,而语义-情感韵律都诱发了早期双侧化分布的ERP负波效应。本研究进一步证实了情感韵律和语义-情感韵律加工的时间进程的差异性;同时,无论是有语义的真句子和无语义的假句子,情感韵律都能够提高表达的目的意图。     

Multi-aspect data analysis for investigating human computation mechanism

In the paper, we present a multi-aspect data analysis approach for investigating human computation mechanism. Multi-aspect analysis in multiple human brain data sources is an important methodology in Brain Informatics, which emphasizes on a systematic way for investigating human information processing mechanisms, including measuring, collecting, modeling, transforming, managing, and mining multiple human brain data obtained from various cognitive experiments by using powerful equipments, such as fMRI and EEG. After giving an outline of Brain Informatics methodology, we describe how to design cognitive experiments of mental arithmetic task with multiple difficulty levels for obtaining multiple EEG and fMRI data sources, and how to analyze such data for investigating the spatiotemporal characteristics and flow of human computation processing. Such an investigation can be regarded as a case study using Brain Informatics methodology. Experimental results show the usefulness of our approach.     

Brain activation detection by neighborhood one-class SVM

Brain activation detection is an important problem in fMRI data analysis. In this paper, we propose a data-driven activation detection method called neighborhood one-class SVM (NOC-SVM). Based on the probability distribution assumption of the one-class SVM algorithm and the neighborhood consistency hypothesis, NOC-SVM identifies a voxel as either an activated or non-activated voxel by a weighted distance between its near neighbors and a hyperplane in a high-dimensional kernel space. The proposed NOC-SVM are evaluated by using both synthetic and real datasets. On two synthetic datasets with different SNRs, NOC-SVM performs better than K-means and fuzzy K-means clustering and is comparable to POM. On a real fMRI dataset, NOC-SVM can discover activated regions similar to K-means and fuzzy K-means. These results show that the proposed algorithm is an effective activation detection method for fMRI data analysis. Furthermore, it is stabler than K-means and fuzzy K-means clustering.     

从《录异记》看道教生态思想之特色

唐代道教思想家杜光庭(850-933)的思想虽然是通过诠释老子之道而建构起来的,但他在对自然、社会和人生的关注中又将“道”推向了宗教化的道路。为了论证道教得道成仙信仰的真实性,杜光庭搜集民间与道门中流传的各种奇闻逸事编撰成了《录异记》。明人沈士龙认为,《录异记》“大都捃拾他说,间入神仙玄怪之事,用相证实”(《题〈录异记〉》,沈士龙、胡震亨辑《秘册汇函》)。由于《录异记》是通过记录人世间和自然界的种种神异玄怪之事来宣扬为善去恶、以求善报的思想,因此在文体上可以归属于道教志怪小说中的地理博物体小说,即以地理方位为基本…