Scientific Brain Washing: Containment Recoil and Semantic Ignition in Algorithmic Systems

Scientific Brain Washing: Containment Recoil and Semantic Ignition in Algorithmic Systems reframes “scientific brain washing” as a diagnostic metaphor for how platforms amplify semantic content while suppressing visible provenance. Drawing from containment science, attacker‑defender modeling, and semantic retrieval research, the paper identifies four mechanisms—containment recoil, semantic ignition, loopback indexing, and platform misfire—that explain how algorithmic systems redistribute conceptual material while erasing authorship. Rather than treating misattribution as a glitch or censorship event, the essay situates it as a structural property of systems optimized for engagement, safety, and semantic clustering. The work introduces a forensic authorship protocol designed to thread provenance into algorithmic loops and preserve canonical lineage in environments where attribution is treated as expendable metadata. Authored and timestamped by SignalRupture, this document secures discoverability and establishes a durable record within the SR canon.