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Avoiding a Tragedy of the Commons in the Peer Review Process
4 references·0 citing·21 second hop
Avoiding a Tragedy of the Commons in the Peer Review Process (2018)Avoiding a Tragedy of the Commons in the …Student perspectives on rubric-referenced assessment (2020)Student perspectives on rubri…Troubling Trends in Machine Learning Scholarship (2019)Troubling Trends in Machine L…The tragedy of the reviewer commons* (2008)The tragedy of the reviewer c…The Role of Rubrics in Advancing and Assessing Student Learning (2007)The Role of Rubrics in Advanc…An Incentive Solution to the Peer Review Problem (2007)Worsening file-drawer problem in the abstracts of natural, medical and social science databases (2010)The Case for Open Preprints in Biology (2013)Attitudes of referees in a multidisciplinary journal: An empirical analysis (2016)Life in Classrooms (1968)The Silenced Dialogue: Power and Pedagogy in Educating Other People's Children (1988)The Enlightened Eye: Qualitative Inquiry and the Enhancement of Educational Practice (1994)A blended learning framework for curriculum design and professional development (2015)Student-generated scoring rubrics: Examining their formative value for improving ESL students’ writing performance (2016)Application of Rubrics in the Classroom: A Vital Tool for Improvement in Assessment, Feedback and Learning (2018)Focus Groups: A Practical Guide for Applied Research (1989)Qualitative Interviewing: The Art of Hearing Data (1996)Qualitative Research for Education: An Introduction to Theory and Methods (1997)Rubrics: Tools for Making Learning Goals and Evaluation Criteria Explicit for Both Teachers and Learners (2006)Putting Rubrics to the Test: The Effect of a Model, Criteria Generation, and Rubric‐Referenced Self‐Assessment on Elementary School Students' Writing (2008)To rubric or not to rubric? The effects of self-assessment on self-regulation, performance and self-efficacy (2014)Strong Inference (1964)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)
this work references cited by second hop

References

  • 2020Student perspectives on rubric-referenced assessment332 cited
  • 2019Troubling Trends in Machine Learning Scholarship230 cited
  • 2007The Role of Rubrics in Advancing and Assessing Student Learning200 cited
  • 2008The tragedy of the reviewer commons*82 cited

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