The Rashomon Effect: When Ethnographers Disagree
By K. Heider. 1988
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Cynthia Rudin
- Aaron Fisher
- Francesca Dominici
- A. Violette
- B. Algozzine
- Chuang Wang
- Glenn Muschert
- Lesia Semenova
Citations in the corpus
- All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously (2018, background): “The Rashomon effect has also been considered in several subject areas outside of VI, including those in non-statistical academic disciplines (Heider, 1988; Roth and Mehta, 2002).”
- All Models are Wrong but many are Useful: Variable Importance for Black-Box, Proprietary, or Misspecified Prediction Models, using Model Class Reliance (2018, background): “The Rashomon effect has also been considered in several subject areas outside of VI, including those in non-statistical academic disciplines (Heider, 1988; Roth and Mehta, 2002).”
- Reexamining the Relationship Between Academic Achievement and Social Behavior (2011, background): “…the different view by not accepting such a powerful and predictive relationship between academics and behavior because we believe, as others (cf. Heider, 1988) do, that disagreements are often of greater value in moving science forward than widely accepted agreements (as in all swans are white).”
- Research in School Shootings (2007, background): “In comparison, fatalities in schools are To compound the problem, there is a further Rashomon effect that stems from the variety of cases examined (Heider 1988) and the divergent scholarly points of view from which school shootings have been studied (Roth and Mehta 2002).”
- Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2021, unknown): “It is called the Rashomon effect [43].”