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Record W2888464894 · doi:10.1177/0197693118793795

Gullah-Geechee settlement patterns from slavery to freedom: Investigation of a Georgia plantation slave quarter

2018· article· en· W2888464894 on OpenAlexaboutno aff
Bradford Botwick

Bibliographic record

VenueNorth American Archaeologist · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
FundersUniversity of South Carolina
KeywordsSettlement (finance)Quarter (Canadian coin)EmancipationColonialismHuman settlementArchaeologyCreole languageMillerHistoryCulture of the United StatesGeographyEthnologyGenealogyLawPoliticsEcologyPolitical science

Abstract

fetched live from OpenAlex

Gullah-Geechee is a creole culture that emerged among enslaved African Americans in the coastal Southeastern United States. Modern material expressions of this culture include a distinctive settlement type, the family compound, consisting of loosely clustered residences and outbuildings. The arrangement of these settlements resembles colonial slave quarters but differs from antebellum “slave rows.” Gullah-Geechee family compounds existed by the mid-20th century, but their origin, time depth, and evolution from linear quarters are unclear. Archaeological study of the Wilson–Miller plantation slave quarter near Savannah, occupied over most of the 19th Century, indicated that the Gullah-Geechee residential compound appeared soon after Emancipation. The study also suggested that communal outdoor space was important in maintaining cultural practices that were expressed in both colonial and post-Emancipation settlement patterns.

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)0.001
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 score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.282
Teacher spread0.257 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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