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Record W2896704761 · doi:10.1017/aaq.2018.56

THE EVOLUTION OF MATERIAL WEALTH-BASED INEQUALITY: THE RECORD OF HOUSEPIT 54, BRIDGE RIVER, BRITISH COLUMBIA

2018· article· en· W2896704761 on OpenAlexaboutno aff
Anna Marie Prentiss, Thomas A. Foor, Ashley Hampton, Ethan Ryan, Matthew J. Walsh

Bibliographic record

VenueAmerican Antiquity · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsInequalityArchaeological recordContext (archaeology)Subsistence agriculturePopulationGeographyArchaeologyHistorySociologyDemographyMathematicsAgriculture

Abstract

fetched live from OpenAlex

The evolution of material wealth-based inequality is an important topic in archaeological research. While a number of explanatory models have been proposed, rarely have they been adequately tested. A significant challenge to testing such models concerns our ability to define distinct, temporally short-term, residential occupations in the archaeological record. Sites often lack evidence for temporally persistent inequality, or, when present, the palimpsest nature of the deposits often make it difficult to define the processes of change on scales that are fine enough to evaluate nuanced model predictions. In this article, we use the detailed record of Housepit 54 from the Bridge River site, interior British Columbia, to evaluate several alternative hypotheses regarding the evolution of persistent material wealth-based inequality. Results of our analyses indicate that inequality appeared abruptly coincident with a decline in intra-house cooperation associated with population packing and the initiation of periodic subsistence stress. We conclude that persistent inequality in this context was a byproduct of altered social networks linked to a Malthusian transition and ceiling.

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 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 score0.179
Threshold uncertainty score0.992

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 studies0.0010.011
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 head0.020
GPT teacher head0.301
Teacher spread0.281 · 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

Citations25
Published2018
Admission routes1
Has abstractyes

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