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Record W2339552854 · doi:10.7183/0002-7316.81.2.345

Evidence for Stepped Pyramids of Shell in the Woodland Period of Eastern North America

2016· article· en· W2339552854 on OpenAlexaff
Thomas J. Pluckhahn, Victor D. Thompson, W.J. Rink

Bibliographic record

VenueAmerican Antiquity · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsMcMaster University
FundersGran Sasso Science Institute
KeywordsPeriod (music)WoodlandArchaeologyPyramid (geometry)SophisticationGeographyGeologyHistoryPaleontologyEcologyArt

Abstract

fetched live from OpenAlex

Abstract Antiquarians of the nineteenth century referred to the largest monumental constructions in eastern North America as pyramids, but this usage faded among archaeologists by the mid-twentieth century. Pauketat (2007) has reintroduced the term pyramid to describe the larger, Mississippian-period (A.D. 1050 to 1550) mounds of the interior of the continent, recognizing recent studies that demonstrate the complexity of their construction. Such recognition is lacking for earlier mounds and for those constructed of shell. We describe the recent identification of stepped pyramids of shell from the Roberts Island Complex, located on the central Gulf Coast of Florida and dating to the terminal Late Woodland period, A.D. 800 to 1050, thus recognizing the sophistication of monument construction in an earlier time frame, using a different construction material, and taking an alternative form.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.110

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.037
GPT teacher head0.261
Teacher spread0.224 · 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

Citations19
Published2016
Admission routes1
Has abstractyes

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