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.     

When lack of control enhances closeness to others: The case of unemployment and economic threat

When personal control is threatened, people often turn to their own group and show negativity towards others. In three studies, we tested an alternative prediction that the salient lack of personal control (vs. control) experienced in the context of unemployment can lead to connectedness and more positive perception of similar others (e.g., members of groups affected by unemployment or the economic crisis). In two European countries, we found experimental (Study 1: Poland) and correlational (Study 2: Spain) evidence that a lowered sense of control of unemployed people was related to more favorable intergroup evaluations. Furthermore, when lack of control related to unemployment threat was experimentally induced, participants perceived a Greek outgroup more positively, and this effect was mediated by identification with and similarity to this group (Study 3). We discuss the role of the shared experience of collective uncontrollability in promoting positive intergroup relations.     

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.     

Adult attachment and spousal reactions to military deployment separations and reunions

We explored adult attachment and spousal perceptions of intrapersonal and relationship functioning during military deployments. In Study 1, spouses of military members experiencing a separation were assessed, and in Study Two, spouses of military members experiencing a reunion were assessed. Study 3 entailed a large‐scale survey of relationship perceptions of spouses of military members. In Studies One and Two, attachment dimensions were related to perceptions of intrapersonal and relationship functioning during the separation and reunion, with associations moderated by days separated/reunited. In Study 3, attachment dimensions were related to relationship perceptions, with associations moderated by deployment stages. This research not only contributes to the knowledge of attachment processes in military contexts but also has the potential to inform policies and services supporting military families.     

Is personal growth initiative associated with later life satisfaction in Chinese college students? A 15‐week prospective analysis

Personal growth initiative (PGI) is presumed to foster positive change leading to positive psychological adjustment. Accordingly, in this study we examined PGI as a predictor of life satisfaction 15 weeks later in a sample of 152 Chinese college students. Time 1 PGI was found to explain a significant amount of unique variance in Time 2 life satisfaction, even after controlling for Time 1 life satisfaction and Time 2 PGI. Specifically, (lower) intentional behavior and planfulness at baseline emerged as significant predictors of later life satisfaction. No evidence was found indicating that life satisfaction at Time 1 accounted for any significant amount of unique variance in PGI processes at Time 2, after controlling for baseline PGI processes and concurrent life satisfaction. Overall, the present findings are the first to demonstrate the importance of PGI as a prospective predictor of positive psychological adjustment in adults.     

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.     

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。     

Being German,Paraguayan and Germanino: Exploring the Relation Between Social and Personal Identity

Despite people’s claims, their national, ethnic and other identities are not ubiquitously relevant, they are rather situationally evoked and performed. Such is the case with the German, Paraguayan and Germanino identity in the municipality of Nueva Germania, in Paraguay. Recognising such contextual epistemic permissibility allows us to form a de-essentialised understanding of groups and individuals. One of the challenges that emerge from this approach, is to understand how a person can perform different identities, which differently define who they are, while remaining certain of being a continuous and persistent person. The objective of this article is to provide a theoretical grounding for theories of social identity in theories of personal identity. It allows us to analytically accommodate the situational and multiscalar character of identities, while recognising their existential importance for personal identity (for the Self).