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Prior research has traced poor judgment quality to poor calibration. We suggest inconsistency to be another reason for poor judgment quality—utilizing different models on different occasions resulting in increased wandering in judgments. We demonstrate differing consistency in the utilization of models depending upon which variable is used as a cue and which is used as the criterion to be predicted. This results in differing correlations underlying judgments between the same two variables, an internally inconsistent pattern. We trace this to the utilization of lay causal models to make predictions but with the strength of the causal story moderating the consistency in use of the model.
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Stored only when both papers are in the corpus — 10 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.