{"title":"社会科学研究中大型语言模型的未来:回复 Berger (2024) 和 Carrillo 等人 (2024)。","authors":"Sachin Banker, Promothesh Chatterjee, Himanshu Mishra, Arul Mishra","doi":"10.1037/amp0001287","DOIUrl":null,"url":null,"abstract":"<p><p>In their commentaries, Berger (2024) and Carrillo et al. (2024) raise several thoughtful questions regarding machine-assisted hypothesis generation in the social sciences. We discuss their ideas and build upon them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":48468,"journal":{"name":"American Psychologist","volume":"79 6","pages":"803-804"},"PeriodicalIF":12.3000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The future of large language models in social science research: Reply to Berger (2024) and Carrillo et al. (2024).\",\"authors\":\"Sachin Banker, Promothesh Chatterjee, Himanshu Mishra, Arul Mishra\",\"doi\":\"10.1037/amp0001287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In their commentaries, Berger (2024) and Carrillo et al. (2024) raise several thoughtful questions regarding machine-assisted hypothesis generation in the social sciences. We discuss their ideas and build upon them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>\",\"PeriodicalId\":48468,\"journal\":{\"name\":\"American Psychologist\",\"volume\":\"79 6\",\"pages\":\"803-804\"},\"PeriodicalIF\":12.3000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Psychologist\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1037/amp0001287\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Psychologist","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/amp0001287","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
The future of large language models in social science research: Reply to Berger (2024) and Carrillo et al. (2024).
In their commentaries, Berger (2024) and Carrillo et al. (2024) raise several thoughtful questions regarding machine-assisted hypothesis generation in the social sciences. We discuss their ideas and build upon them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
Established in 1946, American Psychologist® is the flagship peer-reviewed scholarly journal of the American Psychological Association. It publishes high-impact papers of broad interest, including empirical reports, meta-analyses, and scholarly reviews, covering psychological science, practice, education, and policy. Articles often address issues of national and international significance within the field of psychology and its relationship to society. Published in an accessible style, contributions in American Psychologist are designed to be understood by both psychologists and the general public.