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Understanding Cache Variability: A Deliberately Burned Early Paleoindian Tool Assemblage from the Crowfield Site, Southwestern Ontario, Canada

2009· article· en· W3943912 on OpenAlexaffabout
David Deller, Christopher J. Ellis, James R. Keron

Bibliographic record

VenueAmerican Antiquity · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsWestern University
Fundersnot available
KeywordsAssemblage (archaeology)Feature (linguistics)Artifact (error)ArchaeologyCacheStone toolGeographyGeologyHistoryComputer scienceLinguistics

Abstract

fetched live from OpenAlex

The Crowfield site, excavated in 1981–82, would be a small typical Early Paleoindian campsite except for the added presence of a plough-truncated pit feature containing 182+ burned and destroyed stone artifacts. This paper reports on the latest insights into the feature contents based on continuing attempts to cross-mend fragments, as well as detailed analyses of the spatial distribution of artifact pieces within the feature itself. These results reinforce earlier conclusions that the items were burned where found, represent a cache of still functional tools and preforms, and were purposefully destroyed. They confirm that the site represents the best evidence to date for sacred ritual by eastern North American fluted point users. Contrasts with other reported early sacred and secular caches are documented that highlight the uniqueness of the assemblage. It is argued that these contrasts indicate the Crowfield feature assemblage more closely approximates a transported, functioning tool kit, as opposed to the surplus, seasonal and insurance gear, or offerings, that dominate other early caches.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.693

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 science0.0010.000
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 head0.048
GPT teacher head0.275
Teacher spread0.227 · 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 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
Published2009
Admission routes2
Has abstractyes

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