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Record W4404169660 · doi:10.1163/26670755-20240003

Combining Geo-Archaeology and Historical Nile Records to Understand Predynastic Settlement Patterns in the Region of the Nile’s First Cataract, Egypt

2024· article· en· W4404169660 on OpenAlexaff
Maria Carmela Gatto, Oren Siegel

Bibliographic record

VenueOld World Journal of Ancient Africa and Eurasia · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNile deltaSettlement (finance)ArchaeologyGeographyHistoryAncient historyComputer science

Abstract

fetched live from OpenAlex

Abstract This paper aims to contribute new data to understanding early Predynastic settlement patterns in Egypt at the beginning of the state formation process in the 4th millennium bce . It focuses on the early settlements of the First Nile Cataract region. We employ three different datasets to address the issue retrieved from a recent archaeological investigation and drill coring and from Nile records available from archaeological and historical sources. The analysis is performed in a gis -based environment and through inundation modelling. Data suggest early Predynastic settlements at the First Cataract may have been settled all year round. They appear to be deliberately placed above the annual high flood level and have water resources for most of the year. The new geo-archaeological data further suggests that the average high inundation level for the early 4th millennium bce was similar to that documented for the end of the millennium.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.301

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 studies0.0000.000
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 head0.043
GPT teacher head0.227
Teacher spread0.184 · 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
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
Published2024
Admission routes1
Has abstractyes

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