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Record W2953893011 · doi:10.1111/apaa.12116

7 The Mutable Neighborhoods of the Late Moche Period in the Jequetepeque Valley, Peru

2019· article· en· W2953893011 on OpenAlexaff
Edward Swenson

Bibliographic record

VenueArcheological Papers of the American Anthropological Association · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHuman settlementSettlement (finance)UrbanismEphemeral keyGeographyIdeologyPoliticsArchaeologyDiversity (politics)State (computer science)EthnologyPeriod (music)HistorySociologyEcologyAnthropologyPolitical scienceArt

Abstract

fetched live from OpenAlex

ABSTRACT An investigation of Late Moche hamlets, hillside ceremonial sites, and large monumental centers in the Jequetepeque Valley (650–850 CE) reveals that neighborhood‐like groupings were tied to rural and kin‐based communities. However, the diversity of settlement types and the non‐fixed nature of Jequetepeque “neighborhoods” reveal that North Coast political landscapes defy reduction to an Asiatic mode of urbanism or related village‐state models. Instead, the distinctive neighborhood configurations are best explained in terms of historically specific religious and political ideologies. In contrast to the permanently occupied cities of Huacas de Moche and Pampa Grande, traditional neighborhoods, understood as spatially bounded social units, poorly describe the densely populated but pulsating political landscape of the Jequetepeque region. Nevertheless, the archaeological evidence indicates that intra‐settlement sociopolitical associations, transcending familial or household allegiances, were consciously maintained and materialized in specific settlements, even when occupation was ephemeral and seasonal. The construction of such (imagined) communities, both within and between different settlements of the Jequetepeque Valley, was determined in large part by rituals of commensality and the sharing of food with tutelary huacas .

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.211
Teacher spread0.204 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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