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Machine intelligence is not a singular, domain-free construct, with a general factor explaining at most 70.8% of variance and failing to correlate with standard "intelligence" benchmarks.
A reusable three-layer checklist-and-judge framework that evaluates interpreter-mediated conversation across semantic, pragmatic, and cultural-social dimensions, covering the naturalness, intent, and social appropriateness that fidelity metrics leave unmeasured is introduced.
