AMALIA matches larger models on agreement with human coders for moral-authority annotation, yet its recovery gap shows most of that performance is not reproduced by the theory-defined route—revealing a validity shortfall invisible to agreement metrics.
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Trusting sovereign language models as scientific instruments: evidence from Portugal's AMALIA
AMALIA matches larger models on agreement with human coders for moral-authority annotation, yet its recovery gap shows most of that performance is not reproduced by the theory-defined route—revealing a validity shortfall invisible to agreement metrics.