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An Item Response Theory Analysis of the Welfare Attitudes Scale: Evidence From General Social Survey 2016 福利态度量表的项目反应理论分析——来自2016年综合社会调查的证据
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-06-01 DOI: 10.1086/726132
Lujie Peng
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引用次数: 0
Advancing Family-Focused Health Equity: Reconceptualizing Family in Social Work Research and Practice 推进以家庭为中心的健康公平:在社会工作研究和实践中重新定义家庭
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-06-01 DOI: 10.1086/726133
Katrina M. Ellis, Ann W. Nguyen, Emily K. Miller, Yuanjin Zhou, L. Chatters
In this commentary, we address the strengths and limitations of prevailing conceptualizations of family, particularly in relation to advancing health equity. To better attend to the continuing evolution and diversification of family experiences in the United States, we propose the CHIEF framework, which represents chosen, household, immediate, extended, and fictive kin families. We call on social work and its governing bodies to center diverse family structures, backgrounds and experiences in research, practice, and policy.
在本评论中,我们讨论了流行的家庭概念的优势和局限性,特别是在促进卫生公平方面。为了更好地关注美国家庭经历的持续演变和多样化,我们提出了CHIEF框架,它代表了选择的、家庭的、直系亲属的、扩展的和实际的亲属。我们呼吁社会工作及其管理机构在研究、实践和政策中注重不同的家庭结构、背景和经验。
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引用次数: 0
Front Matter 前页
4区 社会学 Q2 Social Sciences Pub Date : 2023-06-01 DOI: 10.1086/726688
Next article FreeFront MatterPDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmailPrint SectionsMoreDetailsFiguresReferencesCited by Journal of the Society for Social Work and Research Volume 14, Number 2Summer 2023 Published for the Society for Social Work and Research Article DOIhttps://doi.org/10.1086/726688 © 2023 Society for Social Work and Research. All rights reserved.PDF download Crossref reports no articles citing this article.
下一篇文章FreeFront MatterPDFPDF PLUS添加到收藏下载CitationTrack citationspermissions转载分享在facebook twitterlinkedinredditemailprint sectionsmoredetailsfigures参考文献引用社会工作与研究协会杂志第14卷,第2号夏季2023年出版的社会工作与研究协会文章DOIhttps://doi.org/10.1086/726688©2023社会工作与研究协会。Crossref报告没有引用这篇文章的文章。
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引用次数: 0
ChatGPT for Social Work Science: Ethical Challenges and Opportunities 社会工作科学:伦理挑战与机遇
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-05-22 DOI: 10.1086/726042
D. Patton, Aviv Y. Landau, Siva Mathiyazhagan
In this invited paper, we describe the potential use of ChatGPT in social work science, exploring opportunities and ethical challenges related to the deployment of large language models (LLM), specifically ChatGPT, for social work science. We offer several preliminary recommendations for the ethical use of ChatGPT in social work science and call on the profession’s governing organizations to develop a comprehensive ethical framework for the use of LLMs such as ChatGPT in social work research.
在这篇特邀论文中,我们描述了ChatGPT在社会工作科学中的潜在用途,探索了与大型语言模型(LLM)部署相关的机会和道德挑战,特别是ChatGPT,用于社会工作科学。我们为社会工作科学中ChatGPT的道德使用提供了一些初步建议,并呼吁该行业的管理组织为在社会工作研究中使用ChatGPT等法学硕士制定一个全面的道德框架。
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引用次数: 2
Punishing Black Trauma: Anti-Black Racism and ‘Trauma-Informed’ School Social Work 惩罚黑人创伤:反黑人种族主义和“创伤知情”学校社会工作
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-05-22 DOI: 10.1086/726043
Christine Mayor
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引用次数: 0
Recommendations for Social Work Researchers and Journal Editors on the Use of Generative AI and Large Language Models 对社会工作研究人员和期刊编辑关于使用生成人工智能和大型语言模型的建议
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-05-18 DOI: 10.1086/726021
Bryan G. Victor, R. Sokol, Lauri Goldkind, Brian Perron
Generative artificial intelligence (AI) and large language models (LLMs) are poised to significantly impact social work research. These technologies can produce high-quality written materials and support qualitative and quantitative data analysis with simple, plain-language prompts from users. However, they also introduce challenges, such as potential bias, data privacy concerns, and generation of misinformation. In this paper, we use a disruptive–disrupting framework to discuss the dual nature of generative AI and LLMs and offer recommendations for social work researchers and journal editors that include guidance around data collection, analysis, interpretation, and dissemination. Researchers must use great caution when deploying generative AI technologies, meticulously examining, verifying, and taking accountability for the text and analyses produced by these instruments. Likewise, journal editors will need to implement quality control procedures and ethical standards to guide and evaluate the use of these technologies in social work research. We consider the recommendations offered here as a point of departure for disciplinary conversations about the role of generative AI and LLMs in social work research.
生成式人工智能(AI)和大型语言模型(llm)将对社会工作研究产生重大影响。这些技术可以产生高质量的书面材料,并支持定性和定量数据分析,用户可以使用简单、简单的语言提示。然而,它们也带来了挑战,例如潜在的偏见、数据隐私问题和错误信息的产生。在本文中,我们使用破坏性-破坏性框架来讨论生成式人工智能和法学硕士的双重性质,并为社会工作研究人员和期刊编辑提供建议,包括关于数据收集、分析、解释和传播的指导。研究人员在部署生成式人工智能技术时必须非常谨慎,仔细检查、验证并对这些工具产生的文本和分析负责。同样,期刊编辑需要实施质量控制程序和道德标准,以指导和评估这些技术在社会工作研究中的使用。我们认为这里提供的建议是关于生成人工智能和法学硕士在社会工作研究中的作用的学科对话的出发点。
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引用次数: 0
Students’ and Caregivers’ Attitudes and Preferences Toward Screening for Negative Social Determinants of Health in a Predominantly Latinx High School 在一所以拉丁裔为主的高中,学生和照顾者对健康负面社会决定因素筛查的态度和偏好
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-05-01 DOI: 10.1086/725701
R. Sokol, J. Clift, LaTricia Mitchell, Juan José Martínez, Carissa Rusnak
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引用次数: 0
Distributive Politics of U.S. Refugee Resettlement: Examining Temporal Trends and State-Level Factors Associated with Discretionary Federal Funding 美国难民安置的分配政治:考察与联邦酌情拨款相关的时间趋势和州级因素
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-04-10 DOI: 10.1086/725430
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引用次数: 0
Silent Suffering: Understanding the Experiences of Black Caregivers of Violently Injured Men 无声的痛苦:理解黑人照顾暴力受伤男性的经历
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-04-10 DOI: 10.1086/725432
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引用次数: 0
Narratives and Discourses of Epistemic Justice, Power, and Oppression in Community-Based Participatory Research Collaborations 基于社区的参与性研究合作中的知识正义、权力和压迫的叙事和话语
IF 1.8 4区 社会学 Q2 Social Sciences Pub Date : 2023-04-10 DOI: 10.1086/725433
Catalina Tang Yan
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引用次数: 0
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Journal of the Society for Social Work and Research
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