Tran-Switch: A transfer learning approach for sentence level cross-genre author profiling on code-switched English–RomanUrdu Text

Cross-genre author profiling aims to build generalized models for predicting profile traits of authors that can be helpful across different text genres for computer forensics, marketing, and other applications. The cross-genre author profiling task becomes challenging when dealing with low-resourced languages due to the lack of availability of standard corpora and methods. The task becomes even more challenging when the data is code-switched, which is informal and unstructured. In previous studies, the problem of cross-genre author profiling has been mainly explored for mono-lingual texts in highly resourced languages (English, Spanish, etc.). However, it has not been thoroughly explored for the code-switched text which is widely used for communication over social media. To fulfill this gap, we propose a transfer learning-based solution for the cross-genre author profiling task on code-switched (English–RomanUrdu) text using three widely known genres, Facebook comments/posts, Tweets, and SMS messages. In this article, firstly, we experimented with the traditional machine learning, deep learning and pre-trained transfer learning models (MBERT, XLMRoBERTa, ULMFiT, and XLNET) for the same-genre and cross-genre gender identification task. We then propose a novel Trans-Switch approach that focuses on the code-switching nature of the text and trains on specialized language models. In addition, we developed three RomanUrdu to English translated corpora to study the impact of translation on author profiling tasks. The results show that the proposed Trans-Switch model outperforms the baseline deep learning and pre-trained transfer learning models for cross-genre author profiling task on code-switched text. Further, the experimentation also shows that the translation of RomanUrdu text does not improve results.     

Topic Driven Adaptive Network for cross-domain sentiment classification

As a hot spot these years, cross-domain sentiment classification aims to learn a reliable classifier using labeled data from a source domain and evaluate the classifier on a target domain. In this vein, most approaches utilized domain adaptation that maps data from different domains into a common feature space. To further improve the model performance, several methods targeted to mine domain-specific information were proposed. However, most of them only utilized a limited part of domain-specific information. In this study, we first develop a method of extracting domain-specific words based on the topic information derived from topic models. Then, we propose a Topic Driven Adaptive Network (TDAN) for cross-domain sentiment classification. The network consists of two sub-networks: a semantics attention network and a domain-specific word attention network, the structures of which are based on transformers. These sub-networks take different forms of input and their outputs are fused as the feature vector. Experiments validate the effectiveness of our TDAN on sentiment classification across domains. Case studies also indicate that topic models have the potential to add value to cross-domain sentiment classification by discovering interpretable and low-dimensional subspaces.     

面向文化传承的学科融合教育(C-STEAM):6C模式与实践案例

自STEAM教育提出以来,由于其强调跨学科素养、创造性思维和创新实践能力,而受到世界各国的普遍关注。当前国内外学者提出了诸多STEAM教学模式和模型,也有学者进行了基于中国传统文化的学科知识整合层面的探索,但在思维层面和价值观内化方面缺乏对传统文化内涵的充分挖掘。作为一种面向中国优秀传统文化传承的学科融合教育,C-STEAM强调文化传承导向下多学科知识与思维方式的内在融合,以及富含文化情境的活动体验与系统建模,是STEAM教育本土化发展的一种积极尝试。依托情境认知理论和基于设计的双循环探究模型建构的C-STEAM教育6C模式,包括文化情境感知、文化内涵理解、文化特征探究、文化制品创作、联系社会推广、总结评价反思6个核心环节及若干关键活动。将该6C模式应用于佛山市澜石小学的"佛山粤剧文化--天工开物小小工匠"项目,经过两年多的实践表明,学生们参与科技创新、创客、STEAM跨学科项目式学习活动的人次显著增多,对传统文化的认知度也显著增强。该模式为推动地区性C-STEAM课程的建设和开展提供了借鉴。     

Express acceptance or feel anxiety? The effects of trait-related information about foreign residents on endorsement of multiculturalism

Apart from direct contact, people also familiarize themselves with other groups through indirect information. For example, as previous studies have revealed, indirect information on personality traits of outgroup members have influences on intergroup attitudes. Extending existing work, the current study specifically examined the effects of such indirect information on people’s endorsement of multiculturalism, a set of attitudes regarding the attainment of harmonious coexistence among diverse cultural groups. Based on the Stereotype Content Model, two experiments were conducted to investigate how media coverage and social consensus information about moral, social and competence-related traits of foreign residents in China would affect local people’s endorsement of multiculturalism. In experiment 1, when participants learned from the news that foreigners in China possessed high competence, they expressed more appreciation towards the cultural diversity that foreigners brought to the local society, but less support for foreign residents maintaining their own cultural traditions. In experiment 2, participants who learned that other local people perceived foreign residents as having high sociability, morality or competence showed more appreciation towards cultural diversity and more support for maintaining such diversity. Furthermore, in both experiments, perceived anxiety played a mediating role in how indirect trait-related information affected local people’s support for maintaining cultural diversity. Lastly, possible explanations for some unexpected findings and implications for future research are discussed.     

Staying connected: Effects of social connectedness,cultural intelligence,and socioeconomic status on overseas students’ life satisfaction

This study investigated the relationship between social connectedness and overseas life satisfaction in addition to the mediating effect of cultural intelligence (CQ) and the moderating effect of socioeconomic status (SES) respectively. We adopted the social capital theory to support the relations among the proposed variables. Data were collected through online questionnaires from Taiwanese students studying abroad; 431 valid responses were analyzed. The results demonstrated that social connectedness was positively related to CQ; moreover, CQ was positively related to students’ overseas life satisfaction, and partially mediated the relationship between social connectedness and overseas life satisfaction. Concurrently, SES was observed to moderate the relationships of social connectedness with CQ and CQ with overseas life satisfaction. Furthermore, the indirect effect of social connectedness on overseas life satisfaction through CQ was moderated by varying SES levels. Our findings confirm that social connectedness affects CQ, and that CQ serves as the mediation mechanism between social connectedness and life satisfaction among overseas students. In addition, SES plays a significant role in the moderated mediation relationship. Limitations of this study and recommendations for future studies are also discussed.     

政治文化研究在"文革"史研究中的意义与方法

在中国这样一个社会生活的各个方面都被泛政治化的国家,人们的思维方式和行为特点都深深地带有特定的政治文化的烙印。因而,以政治文化作为切入点来解读“文革”的动因,比之纠缠于领袖的动机或某些偶发政治事件的影响来说,具有更为有效的历史价值和现实意义。     

Include Us Out—Economic Development and Social Policy in the Creative Industries

While Government claims about the UK as a ‘global creative hub’ continue to be made (Purnell, 2005), the contradictions and tensions in New Labour's policy in the creative industries have become more apparent. These include the tensions between a set of policies for global media businesses versus the support for small firms in local economic development (Gilmore, 2004; Hesmondhalgh & Pratt, 2005), and the tension between citizens and consumers in media and cultural policy (Hesmondhalgh, 2005). Equally apparent are the tensions between economic development of these sectors and social inclusion. In the UK, arguably more than other countries, the rhetoric of Creative Industries has been tied into political ideas about the links between economic competitiveness and social inclusion. The stated aims for creative industry development have thus been twofold—to increase jobs and GDP, while simultaneously ameliorating social exclusion and countering long-standing patterns of uneven economic development. Research, however, suggests that supporting the creative industries is, at best, a problematic way of tackling the issues of economic and social exclusion. The effects of gentrification on creative industry working and living space (Evans & Shaw, 2004); the patterns of informal hiring and career progression in these sectors (Leadbeater & Oakley, 2001) and the concentration of much economic activity in London and the South East, all suggest that the development of these sectors might exacerbate rather than address patterns of economic inequality.     

我国图书馆、档案馆与博物馆资源整合初探

信息时代的产业需要在信息技术基础结构与文化内容基础结构的双轨上发展。目前 ,我国主要的文化资源收藏馆所还处在各自为政的管理体系 ,阻碍了信息资源的整合与共享 ,这是内容基础结构建设的一大障碍。图书馆 ,博物馆、档案馆三者的资源只有在一个共同的框架内为用户提供服务 ,才能够求得共同发展。参考文献 3     

文化知识与外语教学

本分析了语言与化的关系及全球化给人类带来的挑战与对外语教学的高标准要求，论述了化知识在外语教学中的重要地位与介入的有关原则建议。     

On the return of art investment return analyses

We survey more than twenty studies estimating rates of return of investments in single art objects and whole collections and evaluate the various approaches to art price movements taken so far. The majority of the estimates find lower returns for investments in art objects than for investments in financial assets. However, most existing analyses are restricted to auction data and neglect transactions cost and taxation. They partly focus on mechanistic calculations and disregard the distinguishing institutional and behavioral characteristics of art markets. We look into the possibilities to capture and empirically estimate psychic returns from owning art.