Administrative capability, institutional memory and the machinery of public authority.
An automated public decision is accountable only when public institutions can independently examine its conditions of production and compel its correction, not merely explain its output.
Proactive government does not remove administrative power when it removes citizen-facing steps; it shifts that power into less visible back-office coordination, so every reduction in friction should be matched by stronger traceability, contestability, and accountable authority.
Formal rules do not govern by themselves: administrative outcomes are produced through the interaction of structural relations, cultural expectations, and reflexive agency over time, so governance analysis must identify the mechanisms that reproduce or transform those arrangements rather than infer effectiveness from institutional design alone.
AI governance becomes effective only when formal policy authority is converted into funded mandates, technical capability, coordination, monitoring, enforcement, and institutions able to sustain those functions over time.
Digital governance depends less on the existence of cybersecurity and records policies than on whether institutions can translate them into consistently enforced, auditable controls over public records and administrative action.
GPAS measures the administrative preconditions for algorithmic sovereignty more convincingly than it measures legitimate sovereignty itself, because informational coherence and state capacity do not establish contestability, institutional independence, or justified public authority.
The study is persuasive evidence about how perceived legitimacy forms around AI-enabled state action, but it cannot establish legitimate authority because acceptance, fairness perception, and accountability perception are not substitutes for contestable institutional responsibility.
DPI’s \"power effects\" are not vibes; they come from specific architectural and operational control points, so serious critique needs measurable indicators and design-level mappings.
Collection membership is a reading route. Cross-paper propositions remain curated editorial claims in the Knowledge layer, with explicit evidence and traceability.