Ohnesorge Miguel
Department of History and Philosophy of Science, University of Cambridge, Cambridge, United Kingdom.
Front Res Metr Anal. 2020 Dec 14;5:599506. doi: 10.3389/frma.2020.599506. eCollection 2020.
This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is insufficient for theoretical and practical reasons. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry bias does not only threaten existing conventions but may impede their empirically warranted improvement if they align with industry preferences. My empiricist account of standards of inductive risk avoids such a problem by asserting that conventional justification can be pragmatically warranted but has, in principle, only a provisional status. Methodological conventions, therefore, should not only be defended from preference-based infringements of their coordinative function but ought to be subjected to empirical criticism.
本文对方法论约定主义提出了建设性批评。方法论约定主义主张,归纳风险标准应凭借其促进研究共同体协调的能力而得到辩护。按照那种观点,当违反常规方法论标准以促成行业偏好时,就会出现行业偏见。然而,关于科学约定性的基本解释,在理论和实践方面都不充分。约定可能因其协调功能而得到辩护,但随着研究的推进,它们往往会受到事后的实证批评。因此,行业偏见不仅会威胁到现有的约定,而且如果这些约定与行业偏好一致,可能会阻碍它们在经验上得到合理改进。我对归纳风险标准的经验主义解释避免了这样一个问题,即主张约定性辩护在实用上是有根据的,但原则上只具有临时地位。因此,方法论约定不仅应防范基于偏好对其协调功能的侵犯,而且应该接受实证批评。