Gaining New Perspectives on the Hypostyle Hall at Karnak through the Use of an Unmanned Aerial Vehicle (UAV) and Other Emerging Techniques
Bibliographic record
Abstract
Since 2011, the Université du Québec à Montréal (UQAM)—University of Memphis joint epigraphic mission at Karnak has been studying the decoration carved on the 134 columns that originally stood inside the Hypostyle Hall of the temple of Amun-Ra at Karnak. Using photogrammetry, we have produced unrolled orthophotos that can show individual columns in their entirety. During the course of our season at Karnak in November–December 2017, we were able to operate a flying camera or unmanned aerial vehicle (a DJI Phantom 4 Pro UAV, commonly known as a ‘drone’) around the abaci, the top of the adjacent walls, and the open-air areas of the temple where loose blocks originally attached to the Hall are stored. By taking pictures from different angles and building 3D models of these hitherto lesser investigated parts of the Hall, we were able to improve our recording methods and to gain new insights into the architecture and inscriptions carved on the monument.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".