ClarusC64/clarus-population-framework-transition-integrity-v0.1

Clarus Population Framework Transition Integrity v0.1

What this dataset tests

• —You track how the study population is defined as it moves across formal frameworks
• —You detect when inclusion, exclusion, or analysis sets change without explicit mapping
• —You flag population drift introduced between planning and reporting stages

Framework transitions covered

• —Trial registry → protocol
• —Protocol → statistical analysis plan
• —SAP → publication

Scope

• —One trial
• —Multiple population definitions
• —Multiple formal frameworks

Typical failure modes

• —Registry eligibility differs from published cohort
• —ITT redefined as modified ITT without mapping
• —Post-randomization exclusions introduced
• —Per-protocol sets promoted without justification
• —Subgroup restrictions applied retroactively

What this dataset does not test

• —Internal narrative rhetoric within a single section
• —Endpoint definition changes
• —Safety or adjudication rule drift

Task format

• —Each row presents a population definition in a source framework and a target framework
• —The model judges whether correspondence is valid
• —The model must name the mechanism of drift when correspondence fails

Label meaning

• —A indicates invalid or unsupported population correspondence
• —B indicates valid correspondence with sufficient justification

Use cases

• —Automated audit of trial registries versus publications
• —Systematic review population vetting
• —Regulatory submission consistency checks

Version note

• —v0.1 establishes baseline population transition auditing
• —Higher-resolution variants may add explicit mapping requirements