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Record W2993794791 · doi:10.1080/15564894.2019.1659883

Synthesis and analysis of the Early to Middle Holocene radiocarbon record for the Northern Northwest Coast of North America: A gap in dated components between ∼9000 and 8300 cal BP

2019· article· en· W2993794791 on OpenAlexafffund
Thomas J. Brown, Kenneth M. Ames

Bibliographic record

VenueThe Journal of Island and Coastal Archaeology · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaNational Science Foundation
KeywordsRadiocarbon datingHoloceneArchaeologyGeologyAbsolute datingArchaeological recordPhysical geographyOceanographyPaleontologyGeography

Abstract

fetched live from OpenAlex

The Northern Northwest Coast of North America has consistently been an epicenter of hunter-gatherer research, but attention has focused on the period after 5000 cal BP. Using data largely produced within the past 12 years, we present the first synthesis and analysis of this region’s 14C record between ∼11000 and 5000 cal BP. Our analysis produced two primary findings (i) that the number of dated sites does not increase or decrease significantly during this period and (ii) there is an unexplained gap in dated sites across the entire region between ∼9000 and 8300 cal BP. The existence of this gap has critical implications regarding hypotheses of technological change, migration, population continuity, and cultural evolution for the region. However, available explanations for this gap are problematic. Possible causes investigated include: demographic abandonment of the region, distorting effects of the calibration curve, sea-level change, taphonomy, and sampling error. All are found to be inadequate.

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 score0.238
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.222
Teacher spread0.201 · 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

Citations2
Published2019
Admission routes2
Has abstractyes

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