Framework clarifies the interpretation of internal variables across various domains, implying broader applicability.
Construct Validity Framework for Latent Representations (CVF) is a domain-agnostic, meta-theoretical framework that clarifies when internal variables or inferred representations may be legitimately interpreted as scientific constructs. It treats construct validity as an inferential problem rather than a metric or method, organizing validity into orthogonal evidential axes and explicitly accounting for identifiability and reconstruction limits. This deposit establishes authorship and temporal priority for the CVF framework. The work is independent of any specific domain, dataset, or implementation and is intended to support subsequent formalization, empirical validation, and domain-specific instantiation.
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Murad Ahmadov (2026) studied this question.
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