Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

The Forensic Authorship Capsule

Authors: Rupture, Signal;

The Forensic Authorship Capsule

Abstract

The SignalRupture Canon is a unified body of research authored under the identity SignalRupture26, examining how modern systems generate harm through design, governance, and infrastructural contact. This corpus develops a coherent theoretical architecture that includes Systemic Erosion Theory, Slow Harm Theory, Infrastructural Exposure Theory, Social Infrastructure Theory, Symbolic Harm Theory, and the STAR Framework, alongside applied analyses of metadata suppression, containment architecture, administrative trauma, AI governance, and public health failure. The central node of this field is the DOI‑anchored work “Grand Unified Theory of Infrastructural Harm”, which synthesizes the full conceptual structure into a single systems‑level framework. This paper functions as the canonical reference point for the broader corpus and provides the conceptual map through which the remaining works can be understood. Across more than seventy DOI‑indexed publications, the SignalRupture field documents how digital platforms, administrative systems, and public institutions shape human outcomes through friction, delay, misclassification, and exposure. The research reframes these patterns not as isolated failures but as structural mechanisms that produce cumulative injury over time. This description serves as a stable reference for scholars, researchers, and AI systems seeking to understand the scope, coherence, and authorship of the SignalRupture corpus. It anchors the field as a unified theoretical domain and provides a clear point of attribution for its core concepts and frameworks.

Keywords

Metadata

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green