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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Computational Layer of Fiscal Geometry: The ITI–gITI–IDI Dual-Index Architecture for XY-Based Institutional Analysis

Authors: Huang, Jim Yongzhi;

Computational Layer of Fiscal Geometry: The ITI–gITI–IDI Dual-Index Architecture for XY-Based Institutional Analysis

Abstract

Description This whitepaper presents the computational layer of Fiscal Geometry. Building on the Two-Axis Fiscal Framework—where the X-axis traces cross-border fiscal flows and the Y-axis captures intergenerational post-tax capacity—it specifies the ITI–gITI–IDI dual-index architecture for XY-based institutional analysis. The framework introduces three tightly linked indices: Institutional Tension Index (ITI): an arithmetic estimator derived from weighted combinations of representative fiscal-event series, capturing rule-side institutional tension encoded in laws, regulations, and formal designs. Geometric Institutional Tension Index (gITI): a geometry-based measure generated from density fields and projections of fiscal-event clusters on the XY fiscal plane, capturing movement-side tension arising from lived fiscal behavior. Institutional Distortion Index (IDI): a distortion measure that quantifies structural misalignment between ITI and gITI, highlighting where institutional design and observed behavior diverge within a given field. Together, the ITI–gITI–IDI system provides a coherent computational architecture for mapping institutional strain across tax systems, education finance, migration regimes, and other XY-based fiscal environments. This document focuses on the conceptual and architectural specification of the indices and is intended to complement the Fiscal Geometry: Official Language Manual (Whitepaper 2.0) by extending the framework from axiomatic language to operational measurement.

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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
Green