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Glossary
Causal mapping β overview
Task 1 β Gathering causal mapping data
Task 2 β Causal coding β minimalist style
Task 2 & 3 Key ideas and conventions
Task 3 β Answering questions β General
Task 3 β Answering questions β Individual questions
Causal mapping in evaluation
Causal Mapping as QDA
Causal Map app and alternatives
Deductive coding with AI
Inductive coding with AI
Improving rigour in the use of AI in social science
Qualia
Case studies
Getting philosophical
AI and the wider world
Finally
Causal Map App
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Causal mapping produces models you can query to answer questions
Outputs of QDA
The fundamental property of causal maps is transitivity
Epistemic logic does not help us with reasoning about causal maps
We can reason about causal maps using a logic of evidence
Context is critical to the logic of evidence
Causal maps are knowledge graphs, but with wings
The product of (causal) qualitative coding can be a model you can query
The transitivity trap
π» The product of (causal) qualitative coding can be a model you can query
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