The OGD Protocol: An Orthogonal Classification System for Unidentified Aerial Phenomena

Abstract: This paper defines a four-channel classification system that makes orthogonal what current UAP systems conflate. Existing frameworks (Hynek, Hendry, Henke) mix observation type, anomaly intensity, causal mechanism, and data quality—producing circular definitions and the systematic inability to record well-documented anomalies. The OGDQ Protocol assigns four independent scores: O (structural category), G (distance from explanation), D (identified mechanism), and Q (data quality). We prove these channels are logically independent and validate the framework empirically across 86,625 cases from two national databases. In the German GEP database (6,294 cases, 1972–2025), where Hynek/Hendry classification is applied, 100% of high-quality (Q1) cases are classified as explained (G0). In the US NUFORC database (80,331 cases), where no classification system is applied, only 21.5% of Q1 cases are G0. This 78.5 percentage point difference demonstrates that the conflation is systemic—a property of the classification methodology, not the data. Conclusion: Classification without orthogonality is merely measurement without calibration. By separating observation, anomaly, mechanism, and quality, the OGDQ Protocol finally enables researchers to test whether UAP are just mistakes (H₀) or a distinct class of phenomena (H₁).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-26
DOI
https://doi.org/10.5281/zenodo.18371237
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The OGD Protocol: An Orthogonal Classification System for Unidentified Aerial Phenomena

Kafkas M. Caprazli
Zenodo (CERN European Organization for Nuclear Research)
Anomaly Detection Techniques and Applications
article

The OGD Protocol: An Orthogonal Classification System for Unidentified Aerial Phenomena

Kafkas M. Caprazli
article en

Abstract

Abstract: This paper defines a four-channel classification system that makes orthogonal what current UAP systems conflate. Existing frameworks (Hynek, Hendry, Henke) mix observation type, anomaly intensity, causal mechanism, and data quality—producing circular definitions and the systematic inability to record well-documented anomalies. The OGDQ Protocol assigns four independent scores: O (structural category), G (distance from explanation), D (identified mechanism), and Q (data quality). We prove these channels are logically independent and validate the framework empirically across 86,625 cases from two national databases. In the German GEP database (6,294 cases, 1972–2025), where Hynek/Hendry classification is applied, 100% of high-quality (Q1) cases are classified as explained (G0). In the US NUFORC database (80,331 cases), where no classification system is applied, only 21.5% of Q1 cases are G0. This 78.5 percentage point difference demonstrates that the conflation is systemic—a property of the classification methodology, not the data. Conclusion: Classification without orthogonality is merely measurement without calibration. By separating observation, anomaly, mechanism, and quality, the OGDQ Protocol finally enables researchers to test whether UAP are just mistakes (H₀) or a distinct class of phenomena (H₁).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 79%
Anomaly Detection Techniques and Applications
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.