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Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
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Non-Compensatory Aggregation from a Minimal Error-Correction Loop Perspective: Compensation Illusions, Functional Hierarchies, and a Redundancy–Gating Structure

Authors: Liang, Kelun;

Non-Compensatory Aggregation from a Minimal Error-Correction Loop Perspective: Compensation Illusions, Functional Hierarchies, and a Redundancy–Gating Structure

Abstract

Version: 2026-03-04__05 This preprint is a methodological/theory note that clarifies an aggregation principle for long-horizon self-correction under the Minimal Error-Correction Loop (MECL) perspective. The core claim is non-compensatory gating across necessary correction functions; multiplicative aggregation is used only as a baseline representation. Scope: This note focuses on process-level aggregation and diagnostic implications. It does not provide generative dynamic closure, stability proofs, empirical causal testing, or policy prescriptions. Files: PDF (camera-ready) Markdown source (for transparency) AI-use disclosure: AI tools were used for iterative outlining and language clarity checks. All substantive scholarly decisions, claims, and references remain the author’s responsibility. License: CC BY-NC-ND 4.0 (sharing allowed with attribution; no commercial use; no derivatives).

Keywords

functional hierarchy, Minimal error-correction loop (MECL), weak-link gating, performance metrics, Structural Constraint Theory (SCT), compensation illusion, non-compensatory aggregation, role multiplexing, information distortion, long-horizon self-correction

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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
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