Canonical Series Overview and Citation Map
Year: 2025
Type: article
Abstract: Canonical Description (Dependency-Fixed, Authority-Closed) This document provides a canonical overview and citation map for a published research series examining structural failure modes in the governance of automated and semi-automated decision systems. The record introduces no new claims, arguments, or analytical results. Its sole function is to establish explicit, unambiguous linkage between the individual publications that constitute the series, fixing their dependency order, conceptual boundaries, and citation relationships. Each analytical claim, architectural invariant, and failure mode referenced in the series is attributable exclusively to the specific document in which it is formally introduced. This record does not restate, reinterpret, extend, or summarize those claims. The document is strictly referential and non-operational. It introduces no standards, implementations, protocols, policy guidance, or compliance requirements. This record: provides no legal advice; makes no policy recommendations; provides no implementation or operational guidance; asserts no factual claims about any real-world incident. Any interpretation beyond the literal text of this record is not authorized without explicit written consent of the author. License and use notice: This artifact is released under CC BY-NC-ND 4.0. It may be read, cited, linked, and referenced with attribution. No commercial use, modified versions, derivative specifications, operational claims, service claims, or implied endorsement are granted by this publication. No implementation, operational, commercial, licensing, evaluation, conformity, equivalence, endorsement, or authoritative interpretation rights are granted by this publication. Any such use requires separate written permission from the author. Licensing and interpretation framework: https://doi.org/10.5281/zenodo.18381146 Current clarification version: https://doi.org/10.5281/zenodo.19846720
Author: Independent Researcher
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7116903072
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