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Disaggregating quality judgements

机译：分解质量判断

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摘要

The notion of quality is analysed for its functional roots as a social heuristic for reusing others' quality judgements and hence aiding choice. This is applied to the context of academic publishing, where the costs of publishing have greatly decreased, but the problem of finding the papers one wants has become harder. This paper suggests that instead of relying on generic quality judgements, such as those delivered by journal reviewers, that the maximum amount of judgemental information be preserved and then made available to potential readers to help them find papers that meet their particular needs. The suggestion is that: multidimensional quality data be captured on review of papers, this information is stored on a database, and then used to filter papers according to the criteria set by the searcher-personalising the quality filter. In other words the quality judgements and subsequent use are maintained in a disaggregated form, maintaining the maximum informational context of the judgements for future use. The advantages, disadvantages, challenges and possible variations of this proposal are discussed.
机译：分析质量概念的功能根源，以此作为一种社会启发法，以重用他人的质量判断，从而辅助选择。这适用于学术出版的情况，在这种情况下，出版成本已大大降低，但是查找所需论文的问题变得更加困难。本文建议，不要依赖一般质量判断（例如期刊审阅者做出的判断），而应保留最大数量的判断信息，然后将其提供给潜在读者，以帮助他们找到满足其特定需求的论文。建议是：在审阅论文时捕获多维质量数据，并将此信息存储在数据库中，然后根据搜索者个性化质量过滤器设置的标准将其用于过滤论文。换句话说，质量判断和后续使用将以分解的形式维护，从而保持判断的最大信息背景，以备将来使用。讨论了该提议的优点，缺点，挑战和可能的变化。

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