Relational Joining of Separate Records: How Linking Accurate Fragments Creates a Claim None of Them Makes

This conceptual paper introduces Relational Joining of Separate Records, the operation by which links of identity, sequence, or reply between separately made records produce a composite claim. Holding the fragments fixed while changing their links changes what the combined account asserts. Accurate fragments therefore do not establish the accuracy of the relationship asserted between them. The paper distinguishes a relational join from mere co-presentation and assesses each link according to its own evidence. It asks how identity was established, how events were ordered, or what shows that one message responds to another. It also considers whether uncertainty attached to a link remains visible when the joined account circulates. The account relates the operation to Fellegi and Sunter’s theory of record linkage and examines the U.S. Commission on Civil Rights’ account of Florida’s voter-list matching before the 2000 election. The discussion distinguishes uncertain candidate matches, local verification practices, documented false identity links, and separate errors of classification. Part of the Generative Operations series within On Human Modeling, the paper offers questions for examining who creates, verifies, challenges, and repairs links. Its framework can inform human–AI research on whether relationships asserted in a synthesis are supported independently of the accuracy of its source fragments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24087872
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Relational Joining of Separate Records: How Linking Accurate Fragments Creates a Claim None of Them Makes

Alexandra Cary
Zenodo (CERN European Organization for Nuclear Research)
Data Quality and Management
article

Relational Joining of Separate Records: How Linking Accurate Fragments Creates a Claim None of Them Makes

Alexandra Cary
article en

Abstract

This conceptual paper introduces Relational Joining of Separate Records, the operation by which links of identity, sequence, or reply between separately made records produce a composite claim. Holding the fragments fixed while changing their links changes what the combined account asserts. Accurate fragments therefore do not establish the accuracy of the relationship asserted between them. The paper distinguishes a relational join from mere co-presentation and assesses each link according to its own evidence. It asks how identity was established, how events were ordered, or what shows that one message responds to another. It also considers whether uncertainty attached to a link remains visible when the joined account circulates. The account relates the operation to Fellegi and Sunter’s theory of record linkage and examines the U.S. Commission on Civil Rights’ account of Florida’s voter-list matching before the 2000 election. The discussion distinguishes uncertain candidate matches, local verification practices, documented false identity links, and separate errors of classification. Part of the Generative Operations series within On Human Modeling, the paper offers questions for examining who creates, verifies, challenges, and repairs links. Its framework can inform human–AI research on whether relationships asserted in a synthesis are supported independently of the accuracy of its source fragments.

Zenodo (CERN European Organization for Nuclear Research)
Data Quality and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon