In this post, we present a straightforward yet revealing task: classifying 25 philosophical and scientific arguments as either deductive or inductive. We tested Mistral Le Chat on this argument classification task to evaluate its ability to distinguish between these fundamental forms of reasoning. Le Chat demonstrated a solid grasp of
Thematic content analysis is a key method in political text interpretation, but it typically requires human judgement to define categories and trace meaning. In this study, we explored whether Grok 3, a state-of-the-art large language model, can carry out this task autonomously—without predefined themes or external guidance. Using Martin
Can a language model accurately classify argumentative claims without any prior examples or fine-tuning? We put DeepSeek-V3 to the test on a real-world stance classification task involving 200 claims from a structured dataset. The model was asked to determine, for each claim, whether it supported (PRO) or opposed (CON) a
Argument mapping is a useful method for visualising the logical structure of reasoning, particularly in complex or multi-step arguments. In this post, we examine how Claude 3.7 Sonnet performs when prompted to identify the structure of arguments and represent them visually. The model was given five tasks, each involving
