The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / replicability
Replicability
The property that an independent team reproduces the qualitative conclusions of an experiment using different data, tooling, or implementation.
What this means in practice
A stronger claim than reproducibility; key to scientific trust in published model-performance numbers but frequently unmet in applied ML due to proprietary data and configuration.
Synonyms
independent replication , experimental replicability
See also
- Reproducibility — The property that re-running an experiment with the same code, data, and configuration produces the same results within declared tolerance.
- Experiment tracking — The infrastructure and practice of recording artifacts, metrics, parameters, environment, and lineage for every experiment run — enabling later reproduction, comparison across runs, and audit.
- Benchmark contamination — The presence of benchmark test data in foundation-model training corpora — whether through web crawling or deliberate inclusion — inflating reported benchmark scores and breaking the comparability of benchmark results across models.