A critical view on citation index a discussion with ChatGPT

Pierre Saint-Gregoire
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Abstract

This “opinion article” presents the “dialogue”, namely the series of questions addressed to chatGPT and its outputs, on the question of citation index and other metrics associated with scientific publication. The AI is asked to explain basic quantities (citation index, impact factor of journals, h-index, etc) and through different questions, to give outputs on different important problems, mainly related with citation index and its biases. The AI clearly expresses that the citation index alone should not be used for evaluation purposes, and is led to predict that in certain situations a high quality scientific article would be with a low citation index. The AI also replies that the citation index depends on several factors in a complex way, and is probably not defined in an unambiguous way from a mathematical point of view, but it appears unable to explain evolutions in the field of informetrics that occurred following issues with citation index. The article concludes that the citation index is irrelevant as it is not normalized and strongly depends on the publishing journal and databases, and that it is potentially dangerous for science.
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对引文索引的批判——与ChatGPT的讨论
这篇“观点文章”提出了“对话”,即针对chatGPT及其产出的一系列问题,涉及引文索引和其他与科学出版物相关的指标问题。要求人工智能解释基本数量(引文索引、期刊影响因子、h-index等),并通过不同的问题,对不同的重要问题给出输出,主要与引文索引及其偏倚有关。人工智能明确表示,引文索引不应该单独用于评估目的,并被引导预测在某些情况下,高质量的科学文章可能具有较低的引文索引。人工智能还回答说,引文索引以一种复杂的方式取决于几个因素,从数学的角度来看,可能没有以明确的方式定义,但它似乎无法解释引文索引出现问题后信息计量学领域的演变。这篇文章的结论是,引文索引是不相关的,因为它不是标准化的,并且强烈依赖于出版期刊和数据库,它对科学有潜在的危险。
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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