Accountability in Research-Policies and Quality Assurance最新文献

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A tale of two formats: Graduate students' perceptions and preferences of interactivity in Responsible conduct of research education. 两种形式的故事:研究生对负责任研究教育中互动性的看法和偏好。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-08-01 Epub Date: 2024-05-09 DOI: 10.1080/08989621.2024.2347394
Chien Chou, Huei-Chuan Wei
{"title":"A tale of two formats: Graduate students' perceptions and preferences of interactivity in Responsible conduct of research education.","authors":"Chien Chou, Huei-Chuan Wei","doi":"10.1080/08989621.2024.2347394","DOIUrl":"10.1080/08989621.2024.2347394","url":null,"abstract":"<p><strong>Background: </strong>The significance of Responsible Conduct of Research (RCR) education in higher education is well-acknowledged. However, the lack of interactivity in online RCR courses remains a concern for course designers and instructors. This research aims to identify types of interactivity embedded in RCR courses and examine graduate students' perceived interactivity in different course formats (online versus face-to-face) by two distinct samples.</p><p><strong>Methods/materials: </strong>Study one, involving 191 participants, identified the model construct of the Learner Perceptions of Interactivity Scale for RCR. The result indicated a 15-item scale characterized by three factors: self-control, human-interaction, and information-access. Study two, involving a sample of 390 individuals who received both formats of RCR instruction, confirmed the instrument's reliability and explored students' perceptions of interactivity types within the two formats.</p><p><strong>Results: </strong>Notably, students in Study 2 perceived a higher degree of human interaction in the face-to-face format while attributing more significance to self-control and information access in the online course. Approximately 80% of the students expressed a preference for a fully online course if given another opportunity to choose or recommend a format. This preference was attributed to their inclination toward more control and access, underscoring the significance of these elements in shaping their learning experiences.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"889-912"},"PeriodicalIF":2.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140900022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the understanding of reproducibility among stakeholders within academia and their expectations for a web-based education tool: A qualitative study. 探索学术界利益相关者对可重复性的理解及其对网络教育工具的期望:定性研究。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-08-01 Epub Date: 2024-05-05 DOI: 10.1080/08989621.2024.2345723
Luka Ursić, Nensi Bralić, Marija Franka Žuljević, Livia Puljak, Ivan Buljan
{"title":"Exploring the understanding of reproducibility among stakeholders within academia and their expectations for a web-based education tool: A qualitative study.","authors":"Luka Ursić, Nensi Bralić, Marija Franka Žuljević, Livia Puljak, Ivan Buljan","doi":"10.1080/08989621.2024.2345723","DOIUrl":"10.1080/08989621.2024.2345723","url":null,"abstract":"<p><p>Although reproducibility is central to the scientific method, its understanding within the research community remains insufficient. We aimed to explore the perceptions of research reproducibility among stakeholders within academia, learn about possible barriers and facilitators to reproducibility-related practices, and gather their suggestions for the Croatian Reproducibility Network website. We conducted four focus groups with researchers, teachers, editors, research managers, and policymakers from Croatia (<i>n</i> = 23). The participants observed a lack of consensus on the core definitions of reproducibility, both generally and between disciplines. They noted that incentivization and recognition of reproducibility-related practices from publishers and institutions, alongside comprehensive education adapted to the researchers' career stage, could help with implementing reproducibility. Education was considered essential to these efforts, as it could help create a research culture based on good reproducibility-related practices and behavior rather than one driven by mandates or career advancement. This was particularly found to be relevant for growing reproducibility efforts globally. Regarding the Croatian Reproducibility Network website, the participants suggested we adapt the content to users from different disciplines or career stages and offer guidance and tools for reproducibility through which we should present core reproducibility concepts. Our findings could inform other initiatives focused on improving research reproducibility.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"859-888"},"PeriodicalIF":2.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140870329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New term for ethnoracial discrimination in science. 科学中的人种歧视新术语。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-08-01 Epub Date: 2024-06-20 DOI: 10.1080/08989621.2024.2366280
Reuben Howden, Malin Pereira
{"title":"New term for ethnoracial discrimination in science.","authors":"Reuben Howden, Malin Pereira","doi":"10.1080/08989621.2024.2366280","DOIUrl":"10.1080/08989621.2024.2366280","url":null,"abstract":"","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1053-1054"},"PeriodicalIF":2.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141428209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Balanced examination of positive publication bias impact. 积极发表偏倚影响的平衡检验。
IF 4 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-07-31 DOI: 10.1080/08989621.2025.2538066
Mark Louie F Ramos
{"title":"Balanced examination of positive publication bias impact.","authors":"Mark Louie F Ramos","doi":"10.1080/08989621.2025.2538066","DOIUrl":"https://doi.org/10.1080/08989621.2025.2538066","url":null,"abstract":"<p><strong>Background: </strong>Positive publication bias is the tendency to favor studies that reject null hypotheses for publication and is widely regarded as detrimental to research enterprise quality. However, this view oversimplifies the interplay between selection biases and the statistical properties of hypothesis testing.</p><p><strong>Methods: </strong>Using theoretical models under varying assumptions about the research landscape in terms of the truth values of hypotheses investigated, we examine how increasing bias towards publishing studies with statistically significant results over those without inflates false positive rate while improving true positive rate of studies found in published literature.</p><p><strong>Results: </strong>We demonstrate that even when most null hypotheses being investigated in a research field are true, a preference for publishing studies with statistically significant results when choosing among many articles that are each investigating different topics substantially increases the proportion of published true positives while only modestly inflating the proportion of published false positives. This is true so long as individual research studies are being conducted at reasonable significance level and power relative to the research landscape.</p><p><strong>Conclusion: </strong>Observed positive publication bias based on the proportion of published studies with positive results compared to unpublished studies is not inherently harmful to the research enterprise when publishers and researchers are acting competently and in good faith.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-21"},"PeriodicalIF":4.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144755047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI, originality, and attribution: Researchers' perspectives on distinguishing contributions. 人工智能、原创性和归因:研究人员区分贡献的视角。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-07-20 DOI: 10.1080/08989621.2025.2536817
Yanyi Wu, Xinyu Lu, Chenghua Lin
{"title":"AI, originality, and attribution: Researchers' perspectives on distinguishing contributions.","authors":"Yanyi Wu, Xinyu Lu, Chenghua Lin","doi":"10.1080/08989621.2025.2536817","DOIUrl":"https://doi.org/10.1080/08989621.2025.2536817","url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) is increasingly integrated into research, significantly challenging established scholarly norms around originality, contribution, and authorship. While policies are developing, there is a gap in understanding how individual researchers subjectively perceive and navigate these ambiguities in practice, impacting research integrity.</p><p><strong>Methods: </strong>To explore researchers' perspectives on distinguishing human versus AI contributions, we conducted semi-structured interviews with 18 researchers (PhD student, Postdoctoral Researcher, Faculty) across diverse disciplines (STEM, Social Sciences, Humanities). Data were analyzed via reflexive thematic analysis, informed by Attribution Theory.</p><p><strong>Results: </strong>Researchers predominantly conceptualize AI as a sophisticated tool requiring significant human direction, rather than a genuine collaborator. To navigate attributional ambiguity, they rely on subjective heuristics - such as \"gut feelings\" of ownership and using the labor of the research process as a proxy for conceptual contribution. This creates significant ethical tensions and a desire for clearer, more nuanced guidelines.</p><p><strong>Conclusion: </strong>They face cognitive and practical challenges applying traditional integrity norms to AI-assisted work. Findings highlight the need for critical dialogue, reflective practices, and nuanced guidelines to uphold research integrity and thoughtfully integrate human value with machine capabilities.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-17"},"PeriodicalIF":2.8,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of scientific paper retractions due to data problems: Revealing challenges and countermeasures in data management. 科技论文因数据问题而撤稿分析:揭示数据管理的挑战与对策。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-07-20 DOI: 10.1080/08989621.2025.2531987
Wanfei Hu, Guiliang Yan, Jingyu Zhang, Zhenli Chen, Qing Qian, Sizhu Wu
{"title":"Analysis of scientific paper retractions due to data problems: Revealing challenges and countermeasures in data management.","authors":"Wanfei Hu, Guiliang Yan, Jingyu Zhang, Zhenli Chen, Qing Qian, Sizhu Wu","doi":"10.1080/08989621.2025.2531987","DOIUrl":"https://doi.org/10.1080/08989621.2025.2531987","url":null,"abstract":"<p><strong>Background: </strong>Scientific data, the cornerstone of scientific endeavors, face management challenges amid technological advances. While retractions are analyzed, a rigorous focus on data problems leading to them is missing.</p><p><strong>Methods: </strong>This study collected 49,979 retraction records up to 17 December 2023. After screening 16,842 records were related to data problems and 19,656 were due to other reasons. Methods such as descriptive statistics, hypothesis testing, and the BERTopic (Bidirectional Encoder Representations from Transformers Topic Modelling) were applied to conduct a topic analysis of article titles.</p><p><strong>Result: </strong>The results show that since 2000, retractions due to data problems have increased significantly (<i>p</i> < 0.001), with the percentage in 2023 exceeding 75%. Among 16,842 data-related retractions, 59.0% were in Basic Life Sciences and 40.2% in Health Sciences. Data problems involve accuracy, reliability, validity, and integrity. There are significant differences (<i>p</i> < 0.001) in subjects, journal quartiles, retraction intervals, and other characteristics between data-related and other retractions. Data-related retractions are more concentrated in high-impact journals (Q1 37.6% and Q2 43.0%).</p><p><strong>Conclusions: </strong>Institutions, publishers, and journals should adopt image-screening tools, enforce data deposition, standardize retraction notices, provide ethics training, and strengthen peer review to address these data problems, guiding better data management and healthier scientific development.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-31"},"PeriodicalIF":2.8,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the effectiveness of a Delphi-validated educational video in enhancing awareness and understanding of predatory journals among residents and medical students. 评估经过德尔福验证的教育视频在提高居民和医学生对掠夺性期刊的认识和理解方面的有效性。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-07-14 DOI: 10.1080/08989621.2025.2522261
Alessandro Martinino, Justin Ho, Victoria Zecchin Ferrara, Tena Matolić, Steven D Wexner, Sjaak Pouwels, Frank W J M Smeenk
{"title":"Evaluating the effectiveness of a Delphi-validated educational video in enhancing awareness and understanding of predatory journals among residents and medical students.","authors":"Alessandro Martinino, Justin Ho, Victoria Zecchin Ferrara, Tena Matolić, Steven D Wexner, Sjaak Pouwels, Frank W J M Smeenk","doi":"10.1080/08989621.2025.2522261","DOIUrl":"10.1080/08989621.2025.2522261","url":null,"abstract":"<p><strong>Background: </strong>This study seeks to assess the impact of a Delphi-validated educational video on improving comprehension of predatory journals among medical students and residents.</p><p><strong>Methodology: </strong>Participants completed pre-video (11 questions) and post-video (19 questions) questionnaires on the same day after viewing our Delphi-validated video, with a subsequent follow-up assessment 30 days later (19 questions). Each of the three assessments included a core set of questions focused on predatory journals. Additionally, both post-video assessments incorporated the EDUCATOOL questionnaire.</p><p><strong>Results: </strong>A total of 64 participants completed the survey (from a total of 83), including 51 medical students (79.6%) and 13 residents (20.3%). Analyses using Wilcoxon tests indicated that self-perceived knowledge increased from pre- to post-video (4 vs 8, <i>p</i> < 0.0001) and remained stable at 30 days (8 vs 7, <i>p</i> = 0.38). A similar trend was seen in assessment scores, with the Total Score increasing (7 vs 14.5, <i>p</i> < 0.0001) and sustaining at 30 days (14.5 vs 13, <i>p</i> = 0.92). The video received consistently high ratings across both EDUCATOOL questionnaires, with participants finding it highly relevant, engaging, and satisfactory.</p><p><strong>Conclusion: </strong>Our Delphi-validated video enhances understanding of predatory journals and could complement U.S. NIH training guidelines.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-22"},"PeriodicalIF":2.8,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144638617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Implementation, barriers, and improvement strategies for CRediT: A scoping review. 信用的实施、障碍和改进策略:范围审查。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-07-14 DOI: 10.1080/08989621.2025.2528953
Tove Godskesen, Gert Helgesson, Stefan Eriksson
{"title":"Implementation, barriers, and improvement strategies for CRediT: A scoping review.","authors":"Tove Godskesen, Gert Helgesson, Stefan Eriksson","doi":"10.1080/08989621.2025.2528953","DOIUrl":"https://doi.org/10.1080/08989621.2025.2528953","url":null,"abstract":"<p><strong>Aim: </strong>This scoping review aims to investigate the reasons for adopting the Contributor Roles Taxonomy (CRediT) in scholarly publishing, identify barriers to its implementation or concerns about its use, and propose improvements to enhance its effectiveness in attributing individual contributions to research articles.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted following PRISMA guidelines across multiple databases, including ProQuest, LISA, LISTA, EBSCO, PubMed, Scopus, and Web of Science Core Collection.</p><p><strong>Results: </strong>From an initial pool of 732 papers, 45 were selected for inclusion in the review. The findings indicate that, while the adoption of CRediT promotes transparency and recognition of contributions beyond traditional authorship, several challenges remain. Key barriers include limited applicability across different research types, potential ethical concerns, and conflicts among contributors. Factors contributing to slow adoption include low awareness, inconsistent implementation, and cultural resistance within the research community. Additionally, ambiguous role definitions complicate attribution and fairness.</p><p><strong>Conclusions: </strong>This review highlights CRediT's potential to enhance transparency and equitable recognition of diverse contributions in scholarly publishing. However, it underscores the need to address internal challenges and promote broader acceptance within the research community. Recommendations include establishing clearer role hierarchies, standardizing adoption policies, and integrating CRediT into metadata for improved contribution tracking.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-22"},"PeriodicalIF":2.8,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Managing data in collaborative research starts with the researcher: A Soil CRC case study. 协作研究中的数据管理从研究人员开始:土壤CRC案例研究。
IF 4 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-07-10 DOI: 10.1080/08989621.2025.2525878
Nathan Robinson, Jude Channon, Simon Clarendon, David Medyckyj-Scott
{"title":"Managing data in collaborative research starts with the researcher: A Soil CRC case study.","authors":"Nathan Robinson, Jude Channon, Simon Clarendon, David Medyckyj-Scott","doi":"10.1080/08989621.2025.2525878","DOIUrl":"10.1080/08989621.2025.2525878","url":null,"abstract":"<p><strong>Background: </strong>Multi-disciplinary and interdisciplinary research centers are central to the concept of collaborative science. A challenge to the success of these research centers is their \"data sharing readiness\" as a foundation of science integrity that underpins policy decisions and directions. To achieve data sharing readiness, understanding researchers' level of data maturity (their data management practices and understanding) is critical to improvement in data management and resultant research outcomes.</p><p><strong>Methods: </strong>A mixed methods approach of survey, focus group, and interviews was undertaken to understand where participants in a soil research collaboration were in their data maturity. The survey included a combination of multiple choice, open, and closed-ended questions linked to a set of overarching data management topics. Voluntary participants include farmer groups, universities, industry partners, and state government agencies from Australia and New Zealand.</p><p><strong>Results: </strong>Key findings were that researchers were largely unfamiliar with core concepts of data management and exhibit a low overall level of data maturity and data readiness. This was echoed by the desire of survey respondents to obtain further training, education, and support in data management.</p><p><strong>Conclusion: </strong>Data readiness and providing researchers with a core set of data management skills will provide a pathway for high quality and enduring research.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-25"},"PeriodicalIF":4.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A data mining-based study on academic publication retractions in the 21st Century. 基于数据挖掘的21世纪学术出版物撤稿研究。
IF 2.8 1区 哲学
Accountability in Research-Policies and Quality Assurance Pub Date : 2025-07-05 DOI: 10.1080/08989621.2025.2528064
Qian Shen, Xueyan Gao, Xiaomeng Xiong
{"title":"A data mining-based study on academic publication retractions in the 21st Century.","authors":"Qian Shen, Xueyan Gao, Xiaomeng Xiong","doi":"10.1080/08989621.2025.2528064","DOIUrl":"https://doi.org/10.1080/08989621.2025.2528064","url":null,"abstract":"<p><p><b>Background:</b> The rising number of academic retractions has drawn increasing attention across the academic community. With the availability of large-scale retraction data from Crossref and Retraction Watch, systematic analysis of academic retractions has become feasible.<b>Methods:</b> This study examines all retracted academic publications from the 21st century up to June 4th, 2025. By using BERTopic, Apriori, and data visualization techniques, we've conducted a comprehensive analysis across six subjects with over 6,000 retractions of each subject.<b>Results and conclusions:</b> Our findings detail retraction counts, durations, topic trends, author nationalities, publishers, retraction reasons, and associations among these factors. The overall number of retractions has been continuously rising, with sharp increases in 2010 and 2020 to 2023, and the peak occurring in 2023. The primary reasons for retractions in biomedical studies are paper mills and issues with data and images, with third parties being the main initiators of investigations. In computer science and technology, retractions are mainly due to referencing and attribution issues, as well as unreliable results, with journals, conferences, and publishers often initiating the investigations. We also offer some suggestions that can help monitor research misconduct in academic publications.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-23"},"PeriodicalIF":2.8,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144568110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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