Preserving Uncertainty across Successive Summaries of Testimony in Institutional Investigations

Institutional investigations often rely on records that have passed through several authors and summaries. A later document can faithfully transmit a mistaken belief, silently strengthen a qualified account, or multiply the apparent evidential weight of one source. This paper develops a typed framework for preserving uncertainty across those transformations. It separates the event, a witness's interpretation, the witness's recorded account, a summarizer's inference, and an authorized finding. A semantic weakening condition characterizes transformations that introduce no new asserted consequences within a fixed interpretation domain. A distinct factorization condition determines exact recovery of declared source targets. Constructed counterexamples show that conservative weakening can still lose qualifications needed for a later inquiry, and that accurate source-target extraction can transmit a false allegation. A probabilistic source-dependence model compares repeated copies with independent reports and derives bounds when their generating structure remains uncertain. An optimal-risk comparison clarifies why information loss can coexist with improved performance by actual readers. A worked institutional packet retains target time, attribution, qualifications, source access and revision history. Primary provenance, archival, source-monitoring and investigation materials establish antecedents and practical constraints. A proposed evaluation separates record fidelity, attribution accuracy, uncertainty recovery and justified belief. The formal results are conditional; institutional effectiveness and the prevalence of the diagnosed failures remain empirical questions.

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Institutions

Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-09-14
DOI
https://doi.org/10.17613/ndxt4-gzn03
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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Preserving Uncertainty across Successive Summaries of Testimony in Institutional Investigations

Wanhong HUANG
Knowledge Commons (Lakehead University)
Topic Modeling
article

Preserving Uncertainty across Successive Summaries of Testimony in Institutional Investigations

Wanhong HUANG
article en

Abstract

Institutional investigations often rely on records that have passed through several authors and summaries. A later document can faithfully transmit a mistaken belief, silently strengthen a qualified account, or multiply the apparent evidential weight of one source. This paper develops a typed framework for preserving uncertainty across those transformations. It separates the event, a witness's interpretation, the witness's recorded account, a summarizer's inference, and an authorized finding. A semantic weakening condition characterizes transformations that introduce no new asserted consequences within a fixed interpretation domain. A distinct factorization condition determines exact recovery of declared source targets. Constructed counterexamples show that conservative weakening can still lose qualifications needed for a later inquiry, and that accurate source-target extraction can transmit a false allegation. A probabilistic source-dependence model compares repeated copies with independent reports and derives bounds when their generating structure remains uncertain. An optimal-risk comparison clarifies why information loss can coexist with improved performance by actual readers. A worked institutional packet retains target time, attribution, qualifications, source access and revision history. Primary provenance, archival, source-monitoring and investigation materials establish antecedents and practical constraints. A proposed evaluation separates record fidelity, attribution accuracy, uncertainty recovery and justified belief. The formal results are conditional; institutional effectiveness and the prevalence of the diagnosed failures remain empirical questions.

Knowledge Commons (Lakehead University)
Creative Commons (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Topic Modeling
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Preserving Uncertainty across Successive Summaries of Testimony in Institutional Investigations — Wanhong HUANG · Knowledge Commons (Lakehead University) (2026) | TGRS Research Map | TGRS