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Record W4388670629 · doi:10.1163/21915784-bja10029

Samba Yaye’s Tata: Archaeology and History of an Endogenous Fortification in Eastern Senegal

2023· article· en· W4388670629 on OpenAlexaff
Jacques Aymeric Nsangou, Yao Serge Bonaventure Loukou

Bibliographic record

VenueJournal of African Archaeology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsUniversity of Manitoba
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsHistoryPerspective (graphical)ArchaeologyObject (grammar)GeographyGenealogyArtVisual artsLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract In West Africa, research has brought to light the remains of endogenous fortifications, some of which are called tata, built by West African communities during the last centuries of our era. Despite their importance, tata are generally examined only from a historical perspective or approached as components of global facts rather than as an object of study by themselves. As a result, little is known about the structures themselves and their roles in local history. This paper is an archaeological and historical study of a tata in Senegal. We first have a brief knowledge review of tata in the area where the fortifications are known under this name. Then, we present the archaeological and historical study of the tata of Samba Yaye. Finally, we discuss the causes and some technical aspects of the construction of the Samba Yaye tata, while integrating this site into the chrono-cultural sequence of the region.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.006
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.068
GPT teacher head0.303
Teacher spread0.235 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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