Evaluating Creativity Through the Degrees of Solidity of Its Assessment: A Relational Approach

In this paper, we introduce a new approach to creativity assessment. Arguably, one of the main obstacles to creativity assessment is that creativity criteria are likely to change depending on what is assessed and who is making the assessment. We argue that we might be able to solve this problem by adopting a relational ontology, i.e., an ontology according to which beings of the world acquire their properties by relating to other beings. First, we present the main consequences of this ontological approach for creativity assessment: (a) Accounting for the creativity of a given object involves retracing the beings (including criteria) that relate it to its alleged creativity; (b) One can assess the creativity of this object by looking at the number of beings that substantiate this relation, i.e., by looking at what we call the “degree of solidity” of the relation; (c) One can thus account for the specificity of various forms of creativity and, at the same time, compare them in terms of solidity. Building on these ontological assumptions, we then present a new assessment technique, the Objection Counting Technique, before putting it to the test using an excerpt taken from a naturally occurring brainstorming session.     

Developing networks in disempowered communities: Experiencing hardships while focusing on opportunities

This study aims to present an evaluation and the process steps of a community‐based initiative (CBI) consisting of a group of organizations that work to enhance the lives of boys and men of colour. Using a participatory research model, the researchers collaborated with 14 community stakeholders to develop the questions during two data collection periods and reviewed the reports for accuracy. The findings were separated into two broad categories. The perceived challenges included a lack of clear goals and measurements of success, an absence of leadership and direction, and a shortage of resources. The successes included passion of partners, increased collaboration, and increasing and maintaining social capital within the community. The lessons learned from both data collection periods helped this CBI broaden its reach and collaboration efforts. Overall, this study provides suggestions to other CBIs as they embark on making changes in their own communities.     

Narrative congruence between populist President Duterte and the Filipino public: Shifting global alliances from the United States to China

This research examines what happened when the populist Philippine President Rodrigo Duterte reversed his country's global alliance, switching loyalties away from the United States towards China. We use the lens of narrative congruence, to see if political storylines of a populist president are accompanied by similar shifts in storylines among his followers. Our data corpus consists of text from Duterte's speeches and from comments on partisan Facebook pages, representing supporters and opponents of the president. We time‐bound our data corpus to text produced around the time President Duterte announced his realignment towards China. We use text mining and network analysis to identify overlaps among words used by the different social actors. Our findings show that when Duterte switched alliances, Facebookers—regardless of partisanship—accepted this alliance shift. However, our results likewise reveal an imperfect congruence. Duterte's followers move on to a story criticizing Duterte's domestic political enemies, whereas anti‐Duterte Facebookers talk about monetary deals and drug issues in the Philippines' newfound friendship with China. We discuss our findings in the light of a psychology of populism, the use of a discursive social networks approach to study macropsychological phenomena, and discursive resistance in a populist state.     

An accurate and efficient multi-category edge detection method

Edge detection plays an important role in image processing. With the development of deep learning, the accuracy of edge detection has been greatly improved, and people have more requirements for edge detection tasks. Most edge detection algorithms are binary edge detection methods, but there are usually multiple categories of edges in an image. In this paper, we present an accurate multi-category edge detection network, the richer category-aware semantic edge detection network (R-CASENet). In order to make full use of convolutional neural network’s powerful feature expression capabilities, we attempt to use more information from feature maps for edge feature extraction and classification. Using the ResNet101 network as the backbone, firstly we merge the building blocks in different composite blocks and down-sample to obtain the feature maps. Then we fuse the feature maps in different composite blocks to obtain the final fused classifier. Experimental results show that R-CASENet can achieve state-of-the-art performance on the large SBD dataset. Furthermore, to get precise one-pixel width edges, we also propose an edge refinement network (ERN) structure. The proposed scheme is an end-to-end method and the proposed ERN can reduce redundant points and improve computational efficiency, especially for further image processing.     

压力性生活事件与青少年自尊：被动性社交网站使用和人生意义感的中介作用

采用青少年生活事件量表、被动性社交网站使用量表、生命意义感量表以及自尊量表对605名青少年施测,旨在探讨压力性生活事件对自尊的效应以及被动性社交网站使用和人生意义感的中介作用。结果发现：被动性社交网站使用和拥有人生意义感在压力性生活事件与自尊之间起中介作用,压力性生活事件分别通过被动性社交网站使用、拥有人生意义感的中介作用和被动性社交网站使用与拥有人生意义感的序列中介作用对自尊产生效应。     

成人在语境中的母语词汇意义学习

语境学习是成人获得词汇意义的主要方式, 大量研究者使用语境学习范式考察成人母语词汇意义学习的问题。已有研究将词汇意义学习分为两大阶段：习得词汇的对应概念阶段和将新词的意义整合到已有的语义网络中的阶段。基于词汇意义学习两大加工阶段中语境学习的相关研究, 梳理了词汇、语境、被试因素对成人词汇意义学习的影响, 指出未来研究需要进一步关注新概念学习、隐喻意义学习等问题。     

失眠患者静息态脑网络的改变：网络内与网络间的功能连接异常

失眠已成为现代人群中的一种高发健康问题。静息态功能磁共振以其数据采集便利性和无创性, 成为失眠研究的主要成像手段之一。基于近年来静息态功能磁共振的发现, 失眠患者存在前额叶、颞叶、前扣带回、脑岛等认知-情绪神经环路的异常。大尺度脑网络是涵盖多个脑区、功能相对单一的大脑结构。失眠患者存在默认网络、突显网络、认知控制网络和负性情绪网络内部活动与连接异常, 而且呈现出以默认网络为核心, 包含认知控制网络、突显网络、负性情绪网络的网络间连接异常模式。此外, 结合症状、治疗和大尺度脑网络的视角, 可为失眠的“精准治疗”提供神经理论依据。未来研究可结合大数据和多模态分析技术, 验证静息态功能磁共振已有发现。而失眠的纵向追踪和队列研究会有利于进一步阐释失眠的神经机制。     

中国青少年抑郁的核心症状及性别、抑郁程度间的比较：基于网络分析方法

基于精神障碍网络理论,采用中文版流动调查中心抑郁量表对3634名青少年进行调查,使用网络分析方法考察了我国青少年抑郁的核心症状,比较不同性别和抑郁程度青少年的抑郁症状特征网络。结果发现：（1）我国青少年抑郁的核心症状为压抑情绪、失败感、悲伤和乏力;（2）不同性别青少年的抑郁症状网络结构、网络连接强度和核心症状不存在显著差异;（3）不同抑郁程度青少年的抑郁症状网络结构、网络连接强度、核心症状存在显著差异。     

Engineering interaction: Structural change,locus of identification,and the formation and maintenance of cross-unit ties

Cross-unit ties–relationships that facilitate discretionary information sharing between individuals from different business units–offer a range of organizational benefits. Scholars argue that organizations can promote cross-unit ties by: (a) formally bringing together individuals from different business units into structural links (e.g., cross-unit strategic committees) to encourage the formation of new cross unit ties and, (b) transferring individuals across units, which can increase cross-unit interaction when ties to the prior unit are maintained. This study considers the notion that the success of these formal interventions in fostering cross-unit interaction is contingent on identification with the local unit relative to identification with the broader organization. Specifically, we propose that structural links are more likely to foster cross-unit ties when organizational identification is high and unit identification is low. In contrast, lateral transfers are more likely to result in cross-unit ties when both organizational identification and unit identification are high. We find general support for these propositions in data obtained from a sample of senior leaders of a Fortune 200 agribusiness company before and after a restructuring designed to stimulate cross-unit information sharing. Our model and results make important contributions to our understanding of the relationship between formal and informal structure and reconcile conflicting views regarding the moderating effect of unit identification on intergroup relations.     

Where does it come from? Collaborative emergence in creative work practices

This article presents a case in which analytical tools coming from the tradition of distributed cognition are able to account for what has been defined collaborative emergence (Sawyer & DeZutter, 2009; Sawyer 2012) in creative practices. With this article, we aim to contribute to the debate of distributed creativity by discussing an empirical case of collaborative emergence and providing the analytical tools able to account for its analysis. Introducing the concept of a creative network of interactions, we stress the importance of selecting, describing, and analysing the interactions that give rise to the collaborative emergence in creative work. Introducing the concept of collective creative imagination, we account for the collective emergence of the scene. We suggest that collaborative emergence is the result of a process of collective coordination and improvisation, emerging from moment-to-moment contingency in collective cognition and imagination. The new unpredictable outcome does not emerge from a sudden singular intuition avulsed from the environment, but it is the result of several coordinated steps made by the participants.