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Record W2992682557 · doi:10.1177/0197693119889256

Holocene faunal procurement and species response to climate change in the Ohio River valley

2019· article· en· W2992682557 on OpenAlexaboutno aff
Kenneth B. Tankersley, Nichelle Lyle

Bibliographic record

VenueNorth American Archaeologist · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
Fundersnot available
KeywordsHoloceneGeographyEcologyClimate changeFaunaMarshFisheryArchaeologyWetlandBiology

Abstract

fetched live from OpenAlex

This paper examines the temporal distribution of 163 distinct species recovered from 21 well-dated Holocene age archaeological sites in the Ohio River valley to determine patterns of faunal resource procurement and their response to periods of climate change. Climate change proxies include bison, long-billed curlew, pine marten, porcupine, prairie vole, and swamp rabbit. While the rice rat may be a proxy of climate change, its initial appearance in the Archaic cultural period co-occurs with storable starchy and oily seed crops such as erect knotweed, little barley, marsh elder, maygrass, and sunflower. Subsistence proxies that transcend climate change include variety of aquatic (bass/sunfish, buffalo, channel catfish, freshwater drum, gar, mussels, snails, snapping and spiny softshell turtles, and river redhorse sucker), avian (blue-wing teal, Canada goose, and turkey), and terrestrial species (dog, eastern cotton-tail, elk, gray and fox squirrels, opossum, raccoon, timber rattlesnake, and woodchuck). Caldwell’s Primary Forest Efficiency remains a valid theoretical model of Holocene subsistence strategy in the Ohio River valley.

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 score0.022
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.256
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

Citations4
Published2019
Admission routes1
Has abstractyes

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