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Record W2070076888 · doi:10.1179/pan.2010.021

Folk Art on the Northern Plains: The Case of the Prairie Dinosaurs

2010· article· en· W2070076888 on OpenAlexaboutno aff
W. Raymond Wood

Bibliographic record

VenuePlains Anthropologist · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsAncestorGeographyArchaeologyCretaceousPopulationEcologySteppePrehistoryPaleontologyGeologyDemographyBiologySociology

Abstract

fetched live from OpenAlex

A relictual population of Threshersaurus dakotaensis is still to be found in the northern Plains, ignored by zoologists and, even more remarkably, by evolutionary biologists. The ancestor of this quadrupedal vegetarian saurid once was common in the Jurassic, but that became rare in the Late Cretaceous, have adapted their behavior and adjusted to an environment highly modified from that of their pre-Tertiary ancestors. These solitary animals today are found in a patchy distribution across landscapes dominated by the great expanse of mixed-grass prairie or steppe soils lying between Minnesota and Montana, and Nebraska and the Canadian provinces. Here we provide a preliminary study of their little-known ethology, including speculations on reproductive activities and nocturnal behavior. These beasts deserve serious study by scholars as a visible representation of folk (or public) art, as do other equally visible manifestations of public art in this dominantly rural area.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.008
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.247
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2010
Admission routes1
Has abstractyes

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