Definite Articles: Using the Law Review Article Type Indicator® to Make Law Review Publishing Decisions

Eric A. Chiappinelli
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引用次数: 0

Abstract

Each year close to two thousand law review articles are circulated among about two hundred student-edited law journals. As a result, Law reviews around the country spend upwards of three thousand hours a year screening potential articles for publication. This process is exhausting for both authors and editors alike. The core problem in the law review article selection process is the information asymmetry between authors and law reviews. This article presents a tool, the Law Review Article Type Indicator (LRATI) that aims to reduce the information disparity, in turn making the article selection process less time consuming, more fruitful, and generally more pleasant for law review editors and authors. To achieve this end, the LRATI employs four bipolar scales that systematically evaluate both the author and the submission in an effort to ensure that law reviews only publish author's who are "stars" or "keepers", or at the very least "fillers" while eliminating with ease any and all "losers." This article argues that if law reviews implement the LRATI, the selection of law review articles will be quicker, more accurate, and will take place with less rancor and fewer interpersonal conflicts than ever before.
定冠词:使用法律评论文章类型指标®做出法律评论出版决定
每年有近2000篇法律评论文章在大约200份由学生编辑的法律期刊上发表。因此,全国各地的法律评论人士每年要花费3000多个小时来筛选可能发表的文章。这个过程对作者和编辑来说都是累人的。法律评论文章选择过程中的核心问题是作者与法律评论之间的信息不对称。本文介绍了一种工具,法律评论文章类型指标(LRATI),旨在减少信息差异,从而使文章选择过程更少耗时,更富有成效,并且对法律评论编辑和作者来说更愉快。为了达到这一目的,LRATI采用了四种双极量表,系统地评估作者和提交的材料,以确保法律评论只发表“明星”或“守护者”的作者,或者至少是“填充者”,同时轻松消除任何和所有“失败者”。本文认为,如果法律评论实施LRATI,法律评论文章的选择将更快、更准确,并且将比以往更少地发生怨恨和人际冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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