system-level bureaucracy
Compiled with AI assistance and selectively reviewed. Please consult the cited passages; the books remain the authoritative source. About this companion
Editorial synthesis · provisional
Definition
System-level bureaucracy names the administrative arrangement, attributed to Bovens and Zouridis, in which software standardizes decisions while relocating discretion into system design and governance. The corpus preserves the possible gains in equal treatment and inspectability alongside risks to individualized judgment, due process and appeal. Automation changes where decisions are made rather than simply removing human discretion.
Explanation
RB3 gives the positive baseline full weight: human judgments can be opaque and noisy, whereas explicit models may be interrogated and discrimination documented. Its account of system-level administration is therefore not a claim that informal human discretion is uniformly fairer or more transparent than rules.
The relocation occurs through targets, data fields, thresholds, procurement and rules governing challenge. People exercising these choices may never meet the claimant. Calo and Citron’s legitimacy argument is presented as a related constitutional concern, with a distinct attribution rather than folded into the earlier concept’s authorship.
Robodebt illustrates the removal of evidential and consent-related friction from income averaging, according to the cited inquiry. It is a source-reported application, not a definition of all computerized administration. The entry keeps empirical examples separate from the general question of who can contest a decision and obtain correction.
Scope and attribution
Retain the Bovens–Zouridis attribution and distinguish the legitimacy argument and applications.
AB — The Actual Book
The apparatus distinguishes administrative theory from the several empirical case sources.
Occurrence locators: 166; Notes: 246, 247.
RB3 — The Real Book, Volume III: Murmurations
Standardization can improve decisions while shifting discretion upstream.
Occurrence locators: 180, 181, 182.
Background used in the editorial explanation
Named theories and mechanisms are distinguished from neighboring background, homonyms and the author’s own synthesis. Reproduced AI passages retain their separate voice.