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The City of Meroe

2021· book-chapter· en· W3193525209 on OpenAlexaffabout
Krzysztof Grzymski

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGermanCapital (architecture)Ancient historyGeographyArchaeologyPeriod (music)Capital cityExcavationHistoryArtEconomic geography

Abstract

fetched live from OpenAlex

Abstract Meroe, the ancient Medewi/Bedewi, was a capital city of the kingdom of Kush. Its remains were discovered by the late 18th- to early 19th-century European travelers who relied on descriptions left by Classical authors such as Herodotus and Strabo. Thanks to the excavations carried out by British, Sudanese, Canadian, and German archaeologists we know the general layout of the city and have a basic grasp of its historical development. The earliest remains go back to the 10th century bce, but the main period of its development was from the 6th century bce to the 2nd century ce. The site of Meroe comprises four main areas: the walled Royal City, the Temple of Amun and surrounding religious complex, and two large mounds covering the domestic remains. Among the most important finds were numerous palaces, an astronomical observatory and iron production facilities. The inhabitants of Meroe relied on agriculture and cattle breeding. The gradual decline of the city began in the 3rd century ce but was given a final blow with the Axumite invasion in the 4th century ce.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.990
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

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

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 head0.047
GPT teacher head0.189
Teacher spread0.142 · 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 teacher head, 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

Citations1
Published2021
Admission routes2
Has abstractyes

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