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Mathematical modeling is often presented as a bridge between math and real-world problems, yet dominant frameworks prioritize procedural fluency while overlooking identity, belonging, and justice. This theoretical paper traces the evolution of modeling frameworks—from classical competency models to socio-critical approaches—and synthesizes contributions from both foundational and minoritized scholars. We present a comparative matrix highlighting how frameworks layer cognitive, curricular, and ethical dimensions. Building on this, we propose a new framework: humanizing modeling. Grounded in critical race theory, epistemic justice, and community knowledge, it reframes modeling as a relational and civic practice rooted in trust and collective meaning-making. We conclude with implications for mathematics teacher education and future research in disciplinary reasoning.