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ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: ZENODO
ZENODO
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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The Legitimacy Trap: Why Technically Correct Interventions Fail When Alignment Collapses (Zero Leap Theory Series — Paper 10)

Authors: Yubi Dagogliano, Danny;

The Legitimacy Trap: Why Technically Correct Interventions Fail When Alignment Collapses (Zero Leap Theory Series — Paper 10)

Abstract

You can be right on the numbers and still lose the system. This paper explains a failure pattern that keeps repeating in policy, institutions, and high-stakes decision systems: interventions that are technically correct, evidence-based, and even “compliant” can still collapse because legitimacy breaks first. Within Zero Leap Theory (ZLT), legitimacy is formalized as the alignment gate (Φ)—a non-compensable, pre-intervention condition. When Φ drops below Φ_crit, resistance becomes nonlinear: compliance can turn into sabotage, coordination collapses, and the intervention’s net effect flips sign even if the underlying technical model is correct. The paper introduces IAS-LEG, an auditable protocol to detect legitimacy risk before action, and integrates the Exit Coercion Index (ECI) to separate real consent from coerced compliance. A core warning follows: apparent success under high coercion is often a delayed failure, not validation. This is not a moral lecture. It is a structural claim: legitimacy functions like a constraint in systems with memory. If you ignore it, your intervention may “work” short-term while irreversibly degrading the system that must carry it.

Keywords

Zero Leap Theory; ZLT; Legitimacy Trap; Alignment Gate; Φ; IAS; IAS-LEG; Exit Coercion Index; ECI; Domain Negligence; Consent; Governance Failure; Policy Intervention; Systems with Memory; Structural Collapse; AI governance; institutional trust

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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