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Prison systems constitute institutional expressions of penal policy, administrative authority, and public responsibility. This article compares correctional governance in the United States and France by examining imprisonment measurement, institutional organization, health protection, private-sector participation, rehabilitation, and post-release support. Responding to limitations in earlier comparisons, the study employs a qualitative comparative document-analysis design rather than claiming an unsupported fuzzy-set Qualitative Comparative Analysis. Evidence comprises recent official prison statistics, European monitoring reports, peer-reviewed studies, and relevant public-administration scholarship published from 2022 to 2026. The analysis differentiates American state and federal prisons from local jails; separates French national occupancy measures from detention-center densities; and treats rehabilitation, recidivism, and healthcare indicators as outcomes requiring consistent definitions and periods. Findings indicate that American correctional governance is decentralized and internally heterogeneous, while French administration is nationally coordinated but experiences marked pressures from overcrowding, particularly in remand institutions. Both systems encounter tensions between institutional security, constitutional or human-rights obligations, workforce capacity, and social reintegration. Private prison operation and contracted correctional services constitute distinct governance arrangements and cannot be judged through a single privatization indicator. The article proposes an accountability-oriented comparison that connects institutional authority, operational resources, procedural safeguards, service delivery, and independently documented outcomes. It concludes that correctional reform requires context-sensitive implementation, comparable indicators, sustained healthcare access, transparent contracting, and policies that reduce avoidable custodial pressure without enlarging punitive supervision. The contribution is analytical rather than causal: it offers a reproducible way to interpret differences while identifying evidentiary gaps for subsequent field-based research.
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Handayani et al. (2026) studied this question.
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