How bibliometrics and school rankings reward unreliable science (Papers: Ivan Oransky et. al. | August 2023)
How much is a citation worth? $3? $6? $100 000? Any of those answers is correct, according to back-of-the-envelope calculations over
How much is a citation worth? $3? $6? $100 000? Any of those answers is correct, according to back-of-the-envelope calculations over
Abstract Objectives To describe the key features of a continual evidence surveillance process that can be implemented for living guidelines
Scientific integrity necessitates applying scientific methods properly, collecting and analyzing data appropriately, protecting human subjects rightly, performing studies rigorously, and
Abstract Web-based survey data collection has become increasingly popular, and limitations on in-person data collection during the COVID-19 pandemic have
Abstract Background ChatGPT has emerged as a valuable tool for enhancing scientific writing. It is the first openly available Large
The COVID-19 pandemic has substantially changed the academic and research publishing landscape. The scientific, government and the wider public wanted information as quickly as possible, and they needed quick, open and fully transparent peer review. Preprint service has provided an ideal response to those needs. The way in which we assess scientific work and research outputs needs to change to be more nuanced in its measures and metrics. Our thinking of these matters needs to change. Yes, ARC, we are looking askance at you. The fact that something made sense four years ago, doesn’t mean that it continues to serve.
Ethan Mollick, Associate Professor at the Wharton School, recently concluded in conversation with the CEOs of Turnitin and GPTZero that,
The possibilities for these systems are enticing, especially in the context where good research assistants are in short supply; for a couple of reasons, we urge caution. 1. Such systems can hallucinate and suggest fictional references. 2. They can amplify existing biases and discrimination. 3. The method by which they are trained/their training dataset is secret. In practice, researchers should confirm their recommendations using other means, which undermines some of their appeal.