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Record W3174905660 · doi:10.1016/j.jaa.2021.101323

The evolution of agro-urbanism: A case study from Angkor, Cambodia

2021· article· en· W3174905660 on OpenAlex

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

VenueJournal of Anthropological Archaeology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaEuropean CommissionDumbarton Oaks Research Library and CollectionUniversity of OregonNational Geographic SocietyNational Science Foundation
KeywordsMesoamericaEliteHuman settlementUrbanismGeographyMetropolitan areaArchaeologySettlement (finance)Economic geographyRegional scienceEconomyPolitical scienceArchitecturePolitics

Abstract

fetched live from OpenAlex

The vast agro-urban settlements that developed in the humid tropics of Mesoamerica and Asia contained both elite civic-ceremonial spaces and sprawling metropolitan areas. Recent studies have suggested that both local autonomy and elite policies facilitated the development of these settlements; however, studies have been limited by a lack of detail in considering how, when, and why these factors contributed to the evolution of these sites. In this paper, we use a fine-grained diachronic analysis of Angkor’s landscape to identify both the state-level policies and infrastructure and bottom-up organization that spurred the growth of Angkor as the world’s most extensive pre-industrial settlement complex. This degree of diachronic detail is unique for the ancient world. We observe that Angkor’s low-density metropolitan area and higher-density civic-ceremonial center grew at different rates and independently of one another. While local historical factors contributed to these developments, we argue that future comparative studies might identify similar patterns.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.997

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 science0.0000.000
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 head0.027
GPT teacher head0.333
Teacher spread0.306 · 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