nep-sog New Economics Papers
on Sociology of Economics
Issue of 2024‒01‒08
two papers chosen by
Jonas Holmström, Axventure AB

  1. The Responsible Research(er) Recruitment Checklist: A best practice guide for applying principles of responsible research assessment in researcher recruitment materials By Henderson, Emma Louise; Darby, Robert; Farran, Emily Kate
  2. AI Use in Manuscript Preparation for Academic Journals By Nir Chemaya; Daniel Martin

  1. By: Henderson, Emma Louise (University of Surrey); Darby, Robert; Farran, Emily Kate
    Abstract: Assessment of potential academic staff members is necessary for making recruitment decisions. Amidst growing concern over the use of inappropriate quantitative indicators for research and researcher evaluation, institutions have begun to reform their policies to emphasise broader, responsible researcher assessment. To help implement such reforms, here we share a best practice Responsible Research(er) Recruitment Checklist for engaging with the principles of responsible research assessment in the writing of recruitment materials such as job adverts for research and academic roles. Aligned with the San Francisco Declaration on Research Assessment (DORA) principles, the checklist provides guidance on how to emphasise the primacy of research content and researcher contributions to published articles, without reliance on journal-based metrics. The checklist also recommends that evaluations consider a broad range of research outputs, and that collaboration, citizenship, author contributions, and Open Research practices be recognised. At the time of writing, the checklist is being piloted.
    Date: 2023–11–21
  2. By: Nir Chemaya; Daniel Martin
    Abstract: The emergent abilities of Large Language Models (LLMs), which power tools like ChatGPT and Bard, have produced both excitement and worry about how AI will impact academic writing. In response to rising concerns about AI use, authors of academic publications may decide to voluntarily disclose any AI tools they use to revise their manuscripts, and journals and conferences could begin mandating disclosure and/or turn to using detection services, as many teachers have done with student writing in class settings. Given these looming possibilities, we investigate whether academics view it as necessary to report AI use in manuscript preparation and how detectors react to the use of AI in academic writing.
    Date: 2023–11

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