arXiv - CS - Digital Libraries最新文献_第5页

Science for whom? The influence of the regional academic circuit on gender inequalities in Latin America 科学为谁服务？地区学术圈对拉丁美洲性别不平等的影响

arXiv - CS - Digital Libraries Pub Date : 2024-07-26 DOI: arxiv-2407.18783

Carolina Pradier, Diego Kozlowski, Natsumi S. Shokida, Vincent Larivière

{"title":"Science for whom? The influence of the regional academic circuit on gender inequalities in Latin America","authors":"Carolina Pradier, Diego Kozlowski, Natsumi S. Shokida, Vincent Larivière","doi":"arxiv-2407.18783","DOIUrl":"https://doi.org/arxiv-2407.18783","url":null,"abstract":"The Latin-American scientific community has achieved significant progress\u0000towards gender parity, with nearly equal representation of women and men\u0000scientists. Nevertheless, women continue to be underrepresented in scholarly\u0000communication. Throughout the 20th century, Latin America established its\u0000academic circuit, focusing on research topics of regional significance.\u0000However, the community has since reoriented its research towards the global\u0000academic circuit. Through an analysis of scientific publications, this article\u0000explores the relationship between gender inequalities in science and the\u0000integration of Latin-American researchers into the regional and global academic\u0000circuits between 1993 and 2022. We find that women are more likely to engage in\u0000the regional circuit, while men are more active within the global circuit. This\u0000trend is attributed to a thematic alignment between women's research interests\u0000and issues specific to Latin America. Furthermore, our results reveal that the\u0000mechanisms contributing to gender differences in symbolic capital accumulation\u0000vary between circuits. Women's work achieves equal or greater recognition\u0000compared to men's within the regional circuit, but generally garners less\u0000attention in the global circuit. Our findings suggest that policies aimed at\u0000strengthening the regional academic circuit would encourage scientists to\u0000address locally relevant topics while simultaneously fostering gender equality\u0000in science.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"212 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141868191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Process for Reviewing Design Science Research Papers to Enhance Content Knowledge & Research Opportunities 审查设计科学研究论文的流程，以增强内容知识和研究机会

arXiv - CS - Digital Libraries Pub Date : 2024-07-24 DOI: arxiv-2408.07230

Kweku-Muata Osei-Bryson

{"title":"A Process for Reviewing Design Science Research Papers to Enhance Content Knowledge & Research Opportunities","authors":"Kweku-Muata Osei-Bryson","doi":"arxiv-2408.07230","DOIUrl":"https://doi.org/arxiv-2408.07230","url":null,"abstract":"Most published Information Systems research are of the behavioral science\u0000research (BSR) category rather than the design science research (DSR) category.\u0000This is due in part to the BSR orientation of many IS doctoral programs, which\u0000often do not involve much technical courses. This includes IS doctoral programs\u0000that train Information and Communication Technologies for Development (ICT4D)\u0000researchers. Without such technical knowledge many doctoral and postdoctoral\u0000researchers will not feel confident in engaging in DSR research. Given the\u0000importance of designing artifacts that are appropriate for a given context, an\u0000important question is how can ICT4D and other IS researchers increase their IS\u0000technical content knowledge and intimacy with the DSR process. In this paper we\u0000present, a process for reviewing DSR papers that has as its objectives:\u0000enhancing technical content knowledge, increasing knowledge and understanding\u0000of approaches to designing and evaluating IS/IT artifacts, and facilitating the\u0000identification of new DSR opportunities. This process has been applied for more\u0000than a decade at a USA research university.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"425 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic 调查森林图：获得关于特定研究课题的发散性洞察视图

arXiv - CS - Digital Libraries Pub Date : 2024-07-24 DOI: arxiv-2407.17081

Jinghong Li, Wen Gu, Koichi Ota, Shinobu Hasegawa

引用次数: 0

Estimating global article processing charges paid to six publishers for open access between 2019 and 2023 估算 2019 年至 2023 年向六家出版商支付的全球开放存取文章处理费

arXiv - CS - Digital Libraries Pub Date : 2024-07-23 DOI: arxiv-2407.16551

Stefanie Haustein, Eric Schares, Juan Pablo Alperin, Madelaine Hare, Leigh-Ann Butler, Nina Schönfelder

{"title":"Estimating global article processing charges paid to six publishers for open access between 2019 and 2023","authors":"Stefanie Haustein, Eric Schares, Juan Pablo Alperin, Madelaine Hare, Leigh-Ann Butler, Nina Schönfelder","doi":"arxiv-2407.16551","DOIUrl":"https://doi.org/arxiv-2407.16551","url":null,"abstract":"This study presents estimates of the global expenditure on article processing\u0000charges (APCs) paid to six publishers for open access between 2019 and 2023.\u0000APCs are fees charged for publishing in some fully open access journals (gold)\u0000and in subscription journals to make individual articles open access (hybrid).\u0000There is currently no way to systematically track institutional, national or\u0000global expenses for open access publishing due to a lack of transparency in APC\u0000prices, what articles they are paid for, or who pays them. We therefore curated\u0000and used an open dataset of annual APC list prices from Elsevier, Frontiers,\u0000MDPI, PLOS, Springer Nature, and Wiley in combination with the number of open\u0000access articles from these publishers indexed by OpenAlex to estimate that,\u0000globally, a total of $8.349 billion ($8.968 billion in 2023 US dollars) were\u0000spent on APCs between 2019 and 2023. We estimate that in 2023 MDPI ($681.6\u0000million), Elsevier ($582.8 million) and Springer Nature ($546.6) generated\u0000the most revenue with APCs. After adjusting for inflation, we also show that\u0000annual spending almost tripled from $910.3 million in 2019 to $2.538 billion\u0000in 2023, that hybrid exceed gold fees, and that the median APCs paid are higher\u0000than the median listed fees for both gold and hybrid. Our approach addresses\u0000major limitations in previous efforts to estimate APCs paid and offers much\u0000needed insight into an otherwise opaque aspect of the business of scholarly\u0000publishing. We call upon publishers to be more transparent about OA fees.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141781338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts ILiAD：从 Twitter 帖子中获取语言注释数据的交互式语料库

arXiv - CS - Digital Libraries Pub Date : 2024-07-22 DOI: arxiv-2407.15374

Simon Gonzalez

引用次数: 0

A Network Analysis Approach to Conlang Research Literature 对方言研究文献进行网络分析的方法

arXiv - CS - Digital Libraries Pub Date : 2024-07-22 DOI: arxiv-2407.15370

Simon Gonzalez

引用次数: 0

Improving Citation Text Generation: Overcoming Limitations in Length Control 改进引文文本生成：克服篇幅控制的局限性

arXiv - CS - Digital Libraries Pub Date : 2024-07-20 DOI: arxiv-2407.14997

Biswadip Mandal, Xiangci Li, Jessica Ouyang

引用次数: 0

LLAssist: Simple Tools for Automating Literature Review Using Large Language Models LLAssist：使用大型语言模型自动进行文献综述的简单工具

arXiv - CS - Digital Libraries Pub Date : 2024-07-19 DOI: arxiv-2407.13993

Christoforus Yoga Haryanto

引用次数: 0

Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021 2017 至 2021 年 CNPq 计算机科学奖学金研究人员的生产力概况

arXiv - CS - Digital Libraries Pub Date : 2024-07-19 DOI: arxiv-2407.14690

Marcelo Keese Albertini, André Ricardo Backes

引用次数: 0

Decoding AI and Human Authorship: Nuances Revealed Through NLP and Statistical Analysis 解码人工智能与人类作者身份：通过 NLP 和统计分析揭示细微差别

arXiv - CS - Digital Libraries Pub Date : 2024-07-15 DOI: arxiv-2408.00769

Mayowa Akinwande, Oluwaseyi Adeliyi, Toyyibat Yussuph

{"title":"Decoding AI and Human Authorship: Nuances Revealed Through NLP and Statistical Analysis","authors":"Mayowa Akinwande, Oluwaseyi Adeliyi, Toyyibat Yussuph","doi":"arxiv-2408.00769","DOIUrl":"https://doi.org/arxiv-2408.00769","url":null,"abstract":"This research explores the nuanced differences in texts produced by AI and\u0000those written by humans, aiming to elucidate how language is expressed\u0000differently by AI and humans. Through comprehensive statistical data analysis,\u0000the study investigates various linguistic traits, patterns of creativity, and\u0000potential biases inherent in human-written and AI- generated texts. The\u0000significance of this research lies in its contribution to understanding AI's\u0000creative capabilities and its impact on literature, communication, and societal\u0000frameworks. By examining a meticulously curated dataset comprising 500K essays\u0000spanning diverse topics and genres, generated by LLMs, or written by humans,\u0000the study uncovers the deeper layers of linguistic expression and provides\u0000insights into the cognitive processes underlying both AI and human-driven\u0000textual compositions. The analysis revealed that human-authored essays tend to\u0000have a higher total word count on average than AI-generated essays but have a\u0000shorter average word length compared to AI- generated essays, and while both\u0000groups exhibit high levels of fluency, the vocabulary diversity of Human\u0000authored content is higher than AI generated content. However, AI- generated\u0000essays show a slightly higher level of novelty, suggesting the potential for\u0000generating more original content through AI systems. The paper addresses\u0000challenges in assessing the language generation capabilities of AI models and\u0000emphasizes the importance of datasets that reflect the complexities of human-AI\u0000collaborative writing. Through systematic preprocessing and rigorous\u0000statistical analysis, this study offers valuable insights into the evolving\u0000landscape of AI-generated content and informs future developments in natural\u0000language processing (NLP).","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141930695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0