Codebook and examples of data coding of policy documents for the study titled "When fairness is an abstraction: Equity and AI in Swedish compulsory education".

Examples of coding of policy documents for the study titled<b> </b><i>"</i><i>When fairness is an abstraction: </i><i>Equity and AI in Swedish compulsory education</i><i>".</i>We coded 12 selected policy documents to identify RSGs and examine their views on fairness and AI application's potential benefits and risks in compulsory education. The unit of analysis was the individual document. More specifically, we read all documents several times. We identified the RSGs, their motives for using AI, the main problems AI can solve, and the perceived benefits and risks of using AI. We conducted a manifest analysis, meaning we remained close to the text, describing the visible, such as the words in the text, without trying to infer latent meanings. The attached file provides examples of data analysis, including coding. For each identified group, we created a table that displays sample quotes from the data to exemplify our codes and categories.<br>Pinch, T. J., &amp; Bijker, W. E. (1984). The social construction of facts and artefacts: Or how the sociology of science and the sociology of technology might benefit each other. Social Studies of Science, 14(3), 399–441. https://doi.org/10.1177/0306312840140030<i>,</i>

题为《当公平沦为抽象概念：瑞典义务教育中的公平与人工智能（AI）》的研究，其政策文件编码示例如下：
我们对筛选出的12份政策文件开展编码工作，以识别其中的RSGs，并探析其对公平以及人工智能在义务教育场景中应用的潜在收益与风险的看法。
本次研究的分析单元为单份政策文件。
具体而言，我们对全部文件进行多轮研读，识别出其中的RSGs、各主体使用人工智能的动机、人工智能可解决的核心问题，以及感知到的人工智能应用收益与风险。
我们采用显式内容分析（manifest analysis），即严格依托文本本身，仅描述文本中可见的内容（如文本中的文字表述），不试图推导隐性含义。
附件文件提供了包含编码在内的数据分析示例。针对每一个识别出的群体，我们均制作了表格，用以展示数据中的代表性引述，以阐释我们的编码与分类体系。
Pinch, T. J. 与 Bijker, W. E. (1984)。《事实与人工制品的社会建构：论科学社会学与技术社会学如何互惠共进》。《科学的社会研究》，14(3)，399–441。https://doi.org/10.1177/0306312840140030。