逃离模型:科学出版如何变坏(演示幻灯片)

J. Whitmore
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引用次数: 0

摘要

近年来,许多已发表的科学发现无法被复制。尽管这些出版物的p值很好,但结果证明它们的质量很低。已经提出了几种替代p值的措施,包括难以置信指数(Schimmack, 2012),元回归(Stanley &Doucouliagos, 2014)。然而,p值恶化的真正根本原因是出版压力。在这种情况下,新的措施最终也会在出版压力下失效。衡量科学质量的问题实际上只是一个更普遍观察的具体案例:行为的衡量标准一旦受到控制人们的压力,就会变坏(似乎有效,但实际上不起作用)。那么,我们如何修复科学出版物呢?有两种选择:1。减轻科学家发表论文的压力。培养更少的社会科学博士,让终身职位以外的工作更容易被接受(而不是沦为地狱)。了解更多关于其他有逃逸措施的系统。我将讨论共同进化热点以及垃圾邮件发送者如何逃脱垃圾邮件检测器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Escape From Models: How Science Publishing Went Sour (Presentation Slides)
In recent years, many published findings in science could not be reproduced. These publications turned out to be low quality despite having good p-values. Several measures to replace p-values have been proposed, including an incredibility index (Schimmack, 2012), meta-regression (Stanley & Doucouliagos, 2014). However, the real root cause of the souring of p-values is publication pressure. In that case, the newer measures will also eventually also go sour under publicaiton pressure. The problem of measuring science quality is actually just a specific case of a more general observation: Measures of behavior go sour (seem to work but actually not work) once pressure is placed on them to control people. So how do we fix science publication? There are two choices:

1. Reduce the pressure on scientists to publish. Produce fewer social science PhDs and make alternatives to tenure-track work more palatable (not adjunct hell).

2. Learn more about other systems with escape from measures. I discuss co-evolutionary hotspots and how spammers escape spam detectors.
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