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Record W4361217725 · doi:10.1163/9789004501294_019

Gaining New Perspectives on the Hypostyle Hall at Karnak through the Use of an Unmanned Aerial Vehicle (UAV) and Other Emerging Techniques

2023· book-chapter· en· W4361217725 on OpenAlexafffundabout
Jean Revez, Peter Brand, Emmanuel Laroze, Owen Murray

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of CanadaAmerican Research Center in EgyptNational Endowment for the Humanities
KeywordsDroneOrthophotoPhotogrammetryMemphisTempleArtArchitectureLecture hallArchaeologyArt historyGeologyVisual artsAncient historyRemote sensingGeographyHistoryPaleontology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.004

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.

Opus teacher head0.138
GPT teacher head0.267
Teacher spread0.129 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes3
Has abstractyes

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