Scientific Correction Pre-AI

Scientific Correction in the Pre-AI Era: Lessons from Global Retraction Dynamics

This research provides a multidimensional systems-level understanding of scientific correction prior to AI-driven governance, integrating global publication and retraction data from 58 national scientific systems between 1900 and 2025.

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Abstract

Scientific misconduct exploits the mechanisms through which science establishes credibility, yet correction is commonly reduced to retraction counts. Retractions represent only one observable part of a complex regulatory system. This study develops a multidimensional framework to analyze scientific correction globally before AI-driven governance.

Integrating data from 58 national scientific systems during 1900–2025, we examine three dimensions of correction: dynamics of correction, macro-structural organization, and political-economic configuration. New indicators include the Normalized Retraction Rate and Duration Index (NRRDI) and the Normalized Retraction Rate and Slope13 Index (NRS13I).

Findings reveal multidimensional correction patterns, East–West geographic asymmetries, and links to academic freedom, governance, human development, and institutional coherence. The Retraction Cascade Hypothesis (RCH) is proposed to explain self-reinforcing dynamics of correction visibility and concentration. The study emphasizes correction as an adaptive layer of epistemic governance, not just isolated retractions.

Keywords: Research integrity; Retraction latency; Epistemic governance; Academic freedom; Political economy of science; Artificial intelligence

For full details, the original publication is available at https://doi.org/10.21203/rs.3.rs-9956739/v1

Multidimensional Correction Framework

The framework examines three interconnected dimensions of global scientific correction systems.

Global Architecture and Dynamics of Scientific Correction

Examines the global distribution of correction activity, retraction burden, correction latency, and emerging patterns of corrective visibility across national scientific systems.

Macro-Structural Organization of Scientific Correction Systems

Investigates how governance quality, human development, institutional coherence, and other macro-structural indices are associated with scientific correction system.

Political Economy of Global Scientific Correction Systems

Analyzes the relationship between correction exposure, research investment, economic scale, and efficiency-adjusted scientific productivity across national systems.

Key Findings

Scientific correction is multidimensional, combining retraction burden, correction latency, collaboration-dependent structure, and early correction concentration.
Higher correction frequency correlates with shorter correction latency, showing visibility and responsiveness are complementary regulatory capacities.
Global East–West asymmetry: retraction burden is concentrated in Eastern/Middle Eastern systems, while prolonged correction latency occurs mainly in Western systems.
Academic freedom inversely correlates with retraction burden, reflecting deeper epistemic-governance differences.
Correction exposure scales super-proportionally with economic and research-investment scale; efficiency-adjusted productivity may remain high even under high correction exposure.
Scientific correction is structurally embedded in national systems and linked to governance, human development, institutional coherence, and epistemic openness.
Correction mechanisms operate as adaptive governance layers, not only as retrospective error removal tools.
The Retraction Cascade Hypothesis explains how historically visible corrections may self-amplify concentration in future events.