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Record W2025690896 · doi:10.1353/lag.2005.0001

Pollen evidence of the earliest maize agriculture in Costa Rica

2004· article· en· W2025690896 on OpenAlexaboutno aff
Martin R. Arford, Sally P. Horn

Bibliographic record

VenueJournal of Latin American geography · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersAndrew W. Mellon FoundationNational Geographic SocietyNational Science Foundation
KeywordsMacrofossilRadiocarbon datingDomesticationArchaeologyPollenZea maysAccelerator mass spectrometryGeographyBotanyBiologyAgronomyEcology

Abstract

fetched live from OpenAlex

The domestication of maize and its spread throughout the Americas has long generated interest.Four symposia on maize at the March-April 2004 meeting of the Society of American Archaeologists in Montreal 1 helped to push research (and debates) forward.While there is at present widespread acceptance that one of the teosintes (likely Zea mays subsp.parviglumus) is the ancestor of domesticated maize (Zea mays subsp.mays), many questions remain about where, when, and how domestication took place, and about the subsequent spread of cultivated maize throughout the Americas (Society for American Archaeology 2004a, b;Smalley and Blake, 2003).Botanical evidence for the presence of maize at different sites and times is key to the debate.This evidence consists of maize macrofossils (usually cobs, kernels, or fragments) and maize microfossils (pollen grains and phytoliths) for which ages can be determined using radiocarbon analysis.Until recently, almost all radiocarbon ages for maize macrofossils or microfossils were based on standard radiocarbon assays of associated charcoal or other organic remains in the soils or sediments from which the maize fossils were recovered.The development of accelerator mass spectrometry (AMS) radiocarbon dating, which requires a much smaller mass of sample, has made it possible to date individual maize kernels or cob fragments, and has led to the application of more exacting standards to botanical evidence of the history of maize and other New World crops (Smith, 1994-95;Fritz, 1994).Under these new standards, the primary class of botanical evidence consists of seeds or other plants parts that show morphologies indicative of deliberate planting and harvesting 2 and that are directly dated by AMS methods (Smith, 1994-95).Cultigen pollen and phytoliths that are not directly dated constitute less desirable, secondary classes of evidence, as do macrofossils that are not directly dated.Reinterpretation of the history of maize based only on primary botanical evidence, including direct AMS dates on maize cobs from rockshelters in the Tehuacán Valley of Mexico that had previously been dated only indirectly (Long et al., 1989), led Fritz (1994) to question the standard 5000 BC date for maize domestication.The earliest primary botanical evidence she found was for a directly dated cob from the San Marcos (Tehuacán) cave that yielded an AMS date of 4700 ± 110 14 C years BP, a radiocarbon age that corresponds to a calendar age of between 3700 and 3100 BC when corrected for known variations in atmospheric 14 C (see Table 1 for calibration methods and for calibrated age ranges for all dates for maize subsequently presented here).More recently, Piperno and Flannery (2001: 2102) dated two "primitive-looking maize cobs" from Guilá Naquitz cave in Oaxaca, Mexico, to 5420 ± 60 14 C years BP and 5410 ± 40 14 C years BP.Based on an analysis by Beadle and Ford, the dated cobs are thought to represent either "maize-teosinte hybrids

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 score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.202
Teacher spread0.193 · 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

Citations34
Published2004
Admission routes1
Has abstractyes

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