2018
DOI: 10.1017/s0012217317000956
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Against a Sequestered Philosophy

Abstract: This paper argues that philosophical practice in the Western world, in particular analytic philosophy, suffers from problems that contribute to its lack of diversity in two senses: the exclusion of women and minorities, and a narrow choice of subjects and methods. This is not fruitful for philosophical exchange and the flourishing of philosophical thought. Three contributing factors are covered: a flawed execution when instilling intellectual humility; the gaslighting of women in philosophy; and an overemphasi… Show more

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Cited by 3 publications
(2 citation statements)
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“…The distribution of χ i could for example be chosen to be a truncated normal, to preserve positivity, or obtained by a multiplicative error like in [32]. While the consideration of modeling inadequacy in combination with suitable prior information can be important in some settings [33], it also increases the dimension of the parameter space as further hyper-parameters like the variance of the modeling error would need to be estimated. This would lead to a higher computational cost in the sampling algorithm as well as require some modeling assumptions on these hyperparameters.…”
Section: Modeling the Relationship Between Parameters And Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The distribution of χ i could for example be chosen to be a truncated normal, to preserve positivity, or obtained by a multiplicative error like in [32]. While the consideration of modeling inadequacy in combination with suitable prior information can be important in some settings [33], it also increases the dimension of the parameter space as further hyper-parameters like the variance of the modeling error would need to be estimated. This would lead to a higher computational cost in the sampling algorithm as well as require some modeling assumptions on these hyperparameters.…”
Section: Modeling the Relationship Between Parameters And Datamentioning
confidence: 99%
“…The unsatisfactory fitting of the mathematical model in the scenarios mentioned above could have been compensated by modifying the statistical model, including an additive misfit term due to model discrepancy [33], see Remark at the end of Subsection 2.4.1. Although we then might be able to fit the data, this would not contribute to our goal to gain biological insight via the mathematical model, since it would be hard to interpret the calibration results if the model discrepancy is too large.…”
Section: Considerations On the Mathematical Modelmentioning
confidence: 99%