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Record W4281618781 · doi:10.1017/laq.2022.8

Plants in Transit Communities: Circulating Tubers and Maize in the Lake Titicaca Basin, Bolivia

2022· article· en· W4281618781 on OpenAlexaff
Sophie Reilly, Andrew Roddick

Bibliographic record

VenueLatin American Antiquity · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsStructural basinGeographyFormative assessmentMiddle EastHorizonArchaeologyGeologyPaleontologySociology

Abstract

fetched live from OpenAlex

Archaeologists working in the Late Formative Lake Titicaca Basin have identified several “transit communities”—villages that benefited from long-distance exchange. Some scholars suggest that such places played a key role in the development of the Middle Horizon city of Tiwanaku. In this article, we explore the movement of plant goods into transit communities during both the Late Formative (300 BC–AD 500) and Middle Horizon (AD 600–1100) periods. After presenting the current understanding of transit communities, we summarize previous work on both local plants, including tubers and quinoa, and the presence of maize. We then report on a recent microbotanical study of ceramics recovered from excavations at Late Formative Challapata (in the eastern basin) and a burial from the Middle Horizon occupation at Chiripa (in the southern basin). For the first time we identify lowland tubers in the Lake Titicaca Basin, including yuca, sweet potato, and arrowroot. These findings reveal the critical importance of microbotanical analyses for tracing regional connections and foodways in emergent Middle Horizon worlds, as well as the need for more complex interpretive models for things/plants-in-motion.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.295
Teacher spread0.267 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2022
Admission routes1
Has abstractyes

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