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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Before Truth: A Framework for Evaluable Claims

Authors: Isopahkala, Aatu;

Before Truth: A Framework for Evaluable Claims

Abstract

Most arguments about misinformation assume that disagreements are primarily about truth. This paper argues that a large class of contemporary disputes arise earlier: many claims circulating in public discourse are not false but unevaluable. The framework introduced here provides three diagnostic instruments for analysing the evaluability of claims: • The Φ-gate – determines whether a claim specifies a measurement pathway connecting it to observable evidence.• Z-depth – measures the number of reconstruction steps required before a claim becomes evaluable.• Access Collapse – describes structural conditions under which predicates lose meaning when observational access approaches full system resolution. Together these instruments form an epistemic type system: a pre-evaluative filter determining whether a claim is structurally ready to enter truth-evaluative discourse. This paper synthesises a four-paper research series: I – Access Collapse: A Typed Structural Boundary for Operational AccessII – Epistemic Hygiene in PracticeIII – Reconstructability, Depth, and ValidationIV – Before Truth (this paper) Applications discussed include AI evaluation, cryptographic protocols, scientific discourse, and public deliberation.

Keywords

Information theory, AI evaluation, Philosophy of science, Cryptography, Epistemic hygiene, Claim evaluation, Epistemology, Knowledge systems

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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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