REALITY METABOLISM EXPERIMENT · CALIBRATION IMPACT

How much can two labels change the institutional story?

A cloned experimental branch of the 2,231-record corpus was recalibrated. The canonical corpus was not overwritten.

240
records whose representation changed
580
typed route changes
39
aggregate journey signatures affected
Experimental boundary: 14 early-WGS labels were narrowed to molecular sequencing/sequence analysis; 230 pre-2019 combined COVID/respiratory labels were renamed to historical respiratory-virus/infection representation. These are simulation rules, not canonical corrections.

Network effect

Route population changed from 6,427 to 6,427. There were 290 old typed routes removed and 290 new routes created because labels participate directly in relationship generation.

Largest journey-count changes

TypeABBeforeAfterΔ
THEME_TECHRespiratory viruses / respiratory infectionNot specified / mixed0125+125
THEME_TECHCOVID-19 / respiratory virusesNot specified / mixed19974-125
THEME_TECHRespiratory viruses / respiratory infectionCulture / phenotypic methods055+55
THEME_TECHCOVID-19 / respiratory virusesCulture / phenotypic methods12974-55
THEME_TECHRespiratory viruses / respiratory infectionSerology / immunology028+28
THEME_TECHCOVID-19 / respiratory virusesSerology / immunology5022-28
THEME_TECHRespiratory viruses / respiratory infectionPCR / molecular diagnostics020+20
THEME_TECHCOVID-19 / respiratory virusesPCR / molecular diagnostics266-20
THEME_TECHGenomics / bioinformaticsMolecular sequencing / sequence analysis014+14
THEME_TECHRespiratory viruses / respiratory infectionClinical trial / therapy014+14
THEME_TECHCOVID-19 / respiratory virusesClinical trial / therapy4026-14
THEME_TECHGenomics / bioinformaticsWhole-genome sequencing184170-14
PATHOGEN_TECHNot specified / mixedWhole-genome sequencing113102-11
PATHOGEN_TECHNot specified / mixedMolecular sequencing / sequence analysis011+11
THEME_TECHCOVID-19 / respiratory virusesWhole-genome sequencing2517-8
THEME_TECHDiagnostics / laboratory methodsMolecular sequencing / sequence analysis04+4
THEME_TECHDiagnostics / laboratory methodsWhole-genome sequencing4339-4
THEME_TECHRespiratory viruses / respiratory infectionWhole-genome sequencing04+4
THEME_TECHRespiratory viruses / respiratory infectionMolecular sequencing / sequence analysis04+4
THEME_TECHPublic health / epidemiologyMolecular sequencing / sequence analysis02+2

Full changed-journey table →

The lesson

A small correction at the representation layer propagates upward: Record → Classification → Relationship → Journey → Capability interpretation → Institutional story. This is why calibration belongs inside Scientific Intelligence, not outside it as clerical cleanup.

Annual before/after data → · Calibration Lab → · Colleague Beta →