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The scope of open peer review in the scholarly publishing ecosystem 学术出版生态系统中开放同行评议的范围
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i1.68736
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引用次数: 0
The formation of the subject Cell Biology from the perspective of linguistics: An analytical study 从语言学角度看细胞生物学学科的形成:分析研究
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i2.1045
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引用次数: 0
Automatic extraction of significant terms from the title and abstract of scientific papers using the machine learning algorithm: A multiple module approach 使用机器学习算法从科学论文的标题和摘要中自动提取重要术语:多模块方法
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i1.71272
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引用次数: 0
OpenAI ChatGPT generated content and similarity index: A study of selected terms from the library & information science OpenAI ChatGPT生成的内容和相似度索引:从图书馆和信息科学中选择术语的研究
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i2.1189
Deep Kumar Kirtania, S. K. Patra
With the increasing popularity of OpenAI ChatGPT there are concerns about its use and abuse from all over the globe. Few have appreciated this effort and others are skeptical about it. Whether a proponent or opponent of this tool, no one can deny the fact that this new Artificial Intelligence (AI) tool will revolutionize every aspect of human being. In this context, the ChatGPT contents generated through OpenAI ChatGPT are analyzed with the selected terminologies of Library and Information Science (LIS) discipline. About ten popular terms from the LIS field were put on Chat GPT (https://chat.openai.com/) to generate contents. Those contents were checked through Turnitin software (a web-based plagiarism detection service) to see the percentage of similarity. The study observed that, after checking the content with the plagiarism tool, only 13 percent similarity was found from these ten contents. The observation is significant in the context of academic integrity. The findings are perhaps useful for library information science professionals in any academic institution to generate contents.
随着OpenAI ChatGPT的日益普及,全球各地都对其使用和滥用表示担忧。很少有人欣赏这种努力,其他人对此持怀疑态度。无论是这个工具的支持者还是反对者,没有人可以否认这个新的人工智能(AI)工具将彻底改变人类的方方面面。在此背景下,通过OpenAI ChatGPT生成的ChatGPT内容与图书馆与信息科学(LIS)学科的选定术语进行了分析。将来自LIS字段的大约10个流行术语放在Chat GPT (https://chat.openai.com/)上以生成内容。这些内容通过Turnitin软件(一个基于网络的剽窃检测服务)检查,以查看相似度的百分比。研究发现,在用抄袭工具检查内容后,这10篇文章中只有13%的内容相似。这一观察结果在学术诚信的背景下具有重要意义。这些发现可能对任何学术机构的图书馆情报学专业人员产生内容有用。
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引用次数: 6
Exploring factors that influence the development of reading habits among users of a mobile library in Bangladesh 探索影响孟加拉国移动图书馆用户阅读习惯发展的因素
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i2.2470
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引用次数: 0
Annals of Library and Information Studies: Some reflections and future directions 图书馆情报学年鉴:几点思考与未来方向
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i2.4093
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引用次数: 0
Collaborative authorship patterns in computer science publications 计算机科学出版物中的协作作者模式
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i1.70536
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引用次数: 0
A study of ‘calf-path’ in file naming in institutional repositories in India 印度机构存储库中文件命名中的“小牛路径”研究
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i1.68713
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引用次数: 0
Topic modelling-based analysis of COVID-19 vaccine articles published in the preprint server MedRxiv 预印本服务器MedRxiv上发表的COVID-19疫苗文章的主题建模分析
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i1.71939
N. Deshpande, V. Ligade, S. Shaikh, A. Khode
Two thousand one hundred and ninety-eight research publications on COVID-19 vaccines in MedRxiv preprint repository during January 01, 2020 and December 31, 2021 were analyzed for topic modelling with unsupervised inference method. Latent Dirichlet Allocation (LDA) method was used to investigate the thematic structure of the preprints. It was observed that the published articles were related to either clinical trials or patient responses to vaccine or modelling for various applications such as infection transmission, vaccine allocation, vaccine hesitancy etc. © 2023, National Institute of Science Communication and Policy Research. All rights reserved.
分析2020年1月1日至2021年12月31日MedRxiv预印本库中关于COVID-19疫苗的2898篇研究论文,采用无监督推理方法进行主题建模。采用潜在狄利克雷分配(Latent Dirichlet Allocation, LDA)方法对预印本的主题结构进行研究。据观察,发表的文章要么与临床试验有关,要么与患者对疫苗的反应有关,要么与感染传播、疫苗分配、疫苗犹豫等各种应用的建模有关。©2023,国家科学传播和政策研究所。版权所有。
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引用次数: 0
Critical analysis of journal inclusion practice in the UGC-CARE list: A case study of Group-1 Kannada language journals 教资会关怀目录期刊收录实践的批判性分析:以第一组卡纳达语期刊为例
IF 0.6 Q2 Social Sciences Pub Date : 2023-01-01 DOI: 10.56042/alis.v70i2.264
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引用次数: 0
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Annals of Library and Information Studies
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