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Record W7119493688 · doi:10.1017/s0956536125100813

Traditional dishes and culinary improvisations: Elite gastronomy in the Maya area

2025· article· en· W7119493688 on OpenAlex
Esteban Moisés Herrera-Parra, Melanie Pugliese, Shanti Morell‐Hart

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAncient Mesoamerica · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Toronto
FundersMcMaster University
KeywordsEliteMayaFoodwaysGastronomyPoliticsArtifact (error)Flexibility (engineering)

Abstract

fetched live from OpenAlex

Abstract Over the past few decades, understandings of cuisine in the Maya area have been radically amplified with the use of new techniques. Some methods offer the opportunity to directly connect artifacts and features with plant foods. The recovery of microscopic food residues from sediments, artifacts, and human teeth has revealed not only a broad list of ingredients but a wide array of practices and recipes. Here, we draw on our previous paleoethnobotanical research across the Maya Lowlands to develop an understanding of Classic-period cuisines, integrating new evidence from the Southern Lowlands. We consider the emergence of elite foodways and how elite gastronomic practices factored into broader political maneuvers and private performances. We also tentatively suggest a taxonomy of local traditions that did not conform to a strict elite “grammar.” By addressing commonalities and departures from a core and canonic elite cuisine, we highlight how local elite expressions reified culinary norms but also manifested fluidity and flexibility in culinary practice. Paralleling work with other types of elite artifact assemblages, we illuminate how privileged actors drew on broader cultural logics to make their cuisines intelligible, yet also locally improvised in significant ways.

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.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.145

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.023
GPT teacher head0.217
Teacher spread0.194 · 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