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Record W4412201224 · doi:10.1007/978-3-031-69461-5_8

Wrapping Practices in Medieval Sudan: Case Studies from Gebel Adda

2025· book-chapter· en· W4412201224 on OpenAlexaboutno aff
Magdalena M. Woźniak

Bibliographic record

VenueInterdisciplinary Contributions to Archaeology/Interdisciplinary contributions to archaeology · 2025
Typebook-chapter
Languageen
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsnot available
FundersEuropean Commission
KeywordsArtHistoryAncient history

Abstract

fetched live from OpenAlex

Abstract Gebel Adda was located in Lower Nubia, on the eastern bank of the Nile, ca. 300 km south of Aswan. During the medieval period, it was an important administrative centre of the Christian kingdom of Makuria and, in 1365 CE, it became the new royal residence. The site was explored in the 1960ies during the Nubian Campaign, but the excavations have only been partially published. An important part of the archives and most of the textiles (retrieved from burials) are housed today in the Royal Ontario Museum, Toronto. Some pieces are also in the collections of the Nubia Museum, Aswan. However, the location of the anthropological documentation remains unknown. This paper offers a tentative reconstruction of the textile layers in four elite burials dated to the 14th c. CE, based on the available archaeological records and archival documentation. It aims at demonstrating the importance of a detailed study of the burials to detect the differences in treatment and installation of the bodies in the crypts and, linking the results of the analysis with the historical context, formulate an hypothesis about the identity of Gapoiapa.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0110.004
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.040
GPT teacher head0.371
Teacher spread0.331 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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