MétaCan
Menu
Back to cohort
Record W2314366082 · doi:10.1179/pan.2005.026

Darkened Skies and Sparkling Grasses: The Potential Impact of the Mazama Ash Fall on the Northwestern Plains

2005· article· en· W2314366082 on OpenAlex
Gerald A. Oetelaar, Alwynne B. Beaudoin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePlains Anthropologist · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsRoyal Alberta MuseumUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsVolcanoVolcanic ashArchaeologyGeographyEcologyClimate changeNatural (archaeology)Physical geographyEarth scienceGeologyBiologyPaleontology

Abstract

fetched live from OpenAlex

AbstractMazama ash has long served as an important chronostratigraphic marker for archaeologists working on the northwestern Plains. Despite its thickness and widespread distribution, few archaeologists have examined the potential impact of the ash fall on the plant, animal, and human communities of the area. To some extent, the failure to explore the consequences of this natural disaster reflects the paucity of historical documentation and the lack of current research on the impacts of volcanic eruptions on human communities. The 1980 eruption of Mount St Helens has prompted a renewed interest in the study of volcanoes, including their impacts on climate, plants, animals, and humans. The potential impact of the. Mazama ash fall on the climate, ecology, and human populations of the northwestern Plains is explored in light of this current research.Keywords: Mazama ashvolcanoesarchaeologyclimatedisasters

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.

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)0.000
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 score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.270
Teacher spread0.250 · 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