SNE-based observatory

GX Research SNE Profile

This page visualizes the knowledge-production bias of the GX research corpus using the SNE framework. Instead of ranking papers, it shows whether the field is organized around research substance, implementation narratives, external expectations, implementation substance, or judgment formation.

The goal is not only to discover papers, but to observe how GX research is distributed across these axes — and where the field is thin relative to the demand for implementation.

published papers: 235client JS: 0runtime: edge

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Overview

Distribution across 5 SNE axes. % = share of published papers with each signal active.

S₁ — Research Substance

Measurement-focused, scientific evidence

38%

90 / 235

N — Implementation Narrative

Policy narrative, target-setting, disclosure frameworks

68%

159 / 235

E — External Expectation

Outcome-focused, impact claims

53%

124 / 235

S₂ — Implementation Substance

Implementation process, scalability, industrial application

54%

126 / 235

W — Implementation Judgment

Industrial adoption, verification, validation

69%

161 / 235

How to Read This

This dashboard does not rank papers. It maps where GX research concentrates its epistemic energy — measurement, narratives, expectations, implementation, or judgment.

The intention is not to explain the SNE theory first, but to let the data asymmetry speak — and then name what you see using the SNE framework.

Key observation: N (policy narrative) consistently appears at roughly 2× the rate of S₁ (measurement substance). This N-heavy, S₁-thin pattern is a predicted signature of the GX field under the SNE model.

SNE Profile Classification

S1 S2 mixed74

S₁

27%

91%

S₂

73%

127%

TCFD

S₁

40%

70%

50%

S₂

90%

70%

Climate Finance

S₁

20%

70%

60%

S₂

70%

80%

AI × ESG

S₁

83%

67%

S₂

117%