{"title":"科学家在学术阶梯上更上一层楼时,是否会改变他们的研究生产力等级?","authors":"Marek Kwiek, Wojciech Roszka","doi":"arxiv-2407.04200","DOIUrl":null,"url":null,"abstract":"We approach productivity in science in a longitudinal fashion: We track\ncareers over time, up to 40 years. We first allocate scientists to decile-based\npublishing productivity classes, from the bottom 10% to the top 10%. Then, we\nseek patterns of mobility between the classes in two career stages: assistant\nprofessorship and associate professorship. Our findings confirm that radically\nchanging publishing productivity levels (upward or downward) almost never\nhappens. Scientists with a very weak past track record in publications emerge\nas having marginal chances of becoming scientists with a very strong future\ntrack record across all science, technology, engineering, mathematics, and\nmedicine (STEMM) fields. Hence, our research shows a long-term character of\ncareers in science, with publishing productivity during the apprenticeship\nperiod of assistant professorship heavily influencing productivity during the\nmore independent period of associate professorship. We use individual-level\nmicrodata on academic careers (from a national registry of scientists) and\nindividual-level metadata on publications (from the Scopus raw dataset). Polish\nassociate professors tend to be stuck in their productivity classes for years:\nHigh performers tend to remain high performers, and low performers tend to\nremain low performers over their careers. Logistic regression analysis\npowerfully supports our two-dimensional results. We examine all internationally\nvisible Polish associate professors in five fields of science in STEMM fields\n(N = 4,165 with N art = 71,841 articles).","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Are Scientists Changing their Research Productivity Classes When They Move Up the Academic Ladder?\",\"authors\":\"Marek Kwiek, Wojciech Roszka\",\"doi\":\"arxiv-2407.04200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We approach productivity in science in a longitudinal fashion: We track\\ncareers over time, up to 40 years. We first allocate scientists to decile-based\\npublishing productivity classes, from the bottom 10% to the top 10%. Then, we\\nseek patterns of mobility between the classes in two career stages: assistant\\nprofessorship and associate professorship. Our findings confirm that radically\\nchanging publishing productivity levels (upward or downward) almost never\\nhappens. Scientists with a very weak past track record in publications emerge\\nas having marginal chances of becoming scientists with a very strong future\\ntrack record across all science, technology, engineering, mathematics, and\\nmedicine (STEMM) fields. Hence, our research shows a long-term character of\\ncareers in science, with publishing productivity during the apprenticeship\\nperiod of assistant professorship heavily influencing productivity during the\\nmore independent period of associate professorship. We use individual-level\\nmicrodata on academic careers (from a national registry of scientists) and\\nindividual-level metadata on publications (from the Scopus raw dataset). Polish\\nassociate professors tend to be stuck in their productivity classes for years:\\nHigh performers tend to remain high performers, and low performers tend to\\nremain low performers over their careers. Logistic regression analysis\\npowerfully supports our two-dimensional results. We examine all internationally\\nvisible Polish associate professors in five fields of science in STEMM fields\\n(N = 4,165 with N art = 71,841 articles).\",\"PeriodicalId\":501285,\"journal\":{\"name\":\"arXiv - CS - Digital Libraries\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Digital Libraries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.04200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.04200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Are Scientists Changing their Research Productivity Classes When They Move Up the Academic Ladder?
We approach productivity in science in a longitudinal fashion: We track
careers over time, up to 40 years. We first allocate scientists to decile-based
publishing productivity classes, from the bottom 10% to the top 10%. Then, we
seek patterns of mobility between the classes in two career stages: assistant
professorship and associate professorship. Our findings confirm that radically
changing publishing productivity levels (upward or downward) almost never
happens. Scientists with a very weak past track record in publications emerge
as having marginal chances of becoming scientists with a very strong future
track record across all science, technology, engineering, mathematics, and
medicine (STEMM) fields. Hence, our research shows a long-term character of
careers in science, with publishing productivity during the apprenticeship
period of assistant professorship heavily influencing productivity during the
more independent period of associate professorship. We use individual-level
microdata on academic careers (from a national registry of scientists) and
individual-level metadata on publications (from the Scopus raw dataset). Polish
associate professors tend to be stuck in their productivity classes for years:
High performers tend to remain high performers, and low performers tend to
remain low performers over their careers. Logistic regression analysis
powerfully supports our two-dimensional results. We examine all internationally
visible Polish associate professors in five fields of science in STEMM fields
(N = 4,165 with N art = 71,841 articles).