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Record W4206369660 · doi:10.1017/s0956536121000444

THE PRECERAMIC AND EARLY CERAMIC PERIODS IN BELIZE AND THE CENTRAL MAYA LOWLANDS

2021· article· en· W4206369660 on OpenAlexfundno aff
W. James Stemp, Jaime J. Awe, Joyce Marcus, Christophe Helmke, Lauren A. Sullivan

Bibliographic record

VenueAncient Mesoamerica · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMayaArchaeologyGeographyGeologyHistoryAncient history

Abstract

fetched live from OpenAlex

Abstract This introduction to the Special Section provides a summary of our current understanding of the first humans and the first Maya in these regions and presents seven articles that examine these critical periods from varied, intersecting perspectives. The Introduction begins with a brief history of early preceramic research (primarily in northern Belize) and provides a current chronology for the Paleoindian, Archaic, and Early Preclassic periods. The Paleoindian and Archaic (ca. 11,500–900b.c.) periods are discussed in terms of the origins of the first peoples in these regions, lithic technology, subsistence, and early ritual. Next, a summary of archaeological evidence for the transition to the first villages (ca. 1200–800b.c.) is provided, with examinations of a horticultural lifestyle, the earliest ceramics, increased socio-economic complexity, new ideology and ritual practices, and developing social inequality. Proto-Mayan and Mayan languages—their dating, origin, and early lexicon—are discussed in relation to the first Maya. Material culture and language are explored with regard to conceptions of Maya culture.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.004
GPT teacher head0.178
Teacher spread0.174 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

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