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This paper proposes a four-world framework for modeling interpretive perspectives in computational creativity, using GPT-4.1 as a persona-based evaluator on 1,069 artworks from the SemArt dataset. Results show systematic divergence across formalist, social-historical, and iconographic perspectives, with CLIP probes revealing distinct orientation vectors for each perspective.