Link metadata – quality of evidence

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Home Articles Glossary Working Papers Causal mapping – overview Task 1 – Gathering causal mapping data Task 2 – Causal coding – minimalist style Task 2 – Coding with AI Task 2 & 3 – Extensions Task 3 – Answering questions – General Task 3 – Answering questions – Individual questions Causal mapping in evaluation Causal Mapping as QDA Causal Map app and alternatives AI in qualitative social science How to – in the Causal Map app Qualia Case studies For consultants AI and the wider world Finally Causal Map App

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Task 2 – Introduction Our approach is minimalist – we code only bare causation Our approach clearly distinguishes evidence from facts and does not automatically warrant causal inferences Our approach is minimalist – factors are not variables A minimalist approach to coding helps capture what people actually say A minimalist approach to coding makes aggregation easier A minimalist approach to coding does not code absences Our approach is minimalist – we do not code the strength of a link In a causal mapping dataset there is no need for a special table of factors Factor labels – a creative challenge Factor label tags – coding factor metadata within its label Factor labels – semi-quantitative formulations can help Causal mapping looks for linearity first Factor labels – do not over-generalise Coding with and using link metadata Link metadata – Sentiment Link metadata – Time reference Link metadata – quality of evidence Research on the ability of LLMs to detect causal claims

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🌻 Link metadata – quality of evidence#

24 Oct 2025

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