{"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}
引用次数: 0
Abstract
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).