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Record W2130842457 · doi:10.1139/cjes-2012-0103

Holocene environmental history of the Aishihik Region, Yukon, Canada

2012· article· en· W2130842457 on OpenAlexafffundvenueabout
Rebecca A. Rainville, Konrad Gajewski

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaArctic Institute of North America
KeywordsDeglaciationTundraHoloceneGeologyPhysical geographyVegetation (pathology)SedimentLoss on ignitionClimate changeOceanographyArcticGeographyGeomorphology

Abstract

fetched live from OpenAlex

A 2.7 m sediment core from WA01, a small pond in Southwest Yukon, Canada (unofficial name, 61°14′41″N, 136°55′35″W, 1000 m above sea level), documents the postglacial vegetation and climate history of the Aishihik Basin. Open birch–shrub tundra established at the site ca. 10 900 cal years BP, immediately after deglaciation. Picea glauca established ca. 10 200 cal years BP, and an open spruce forest ecosystem has since remained dominant on the landscape. A gradual increase in Alnus crispa, starting ca. 6600 cal years BP, has also been noted in other studies from Central Yukon, suggesting a significant climate transition in Yukon at this time. An alternating pattern in sediment loss-on-ignition, also beginning ca. 6600 cal years BP, may be broadly related to trends in ∂18O values from the Mount Logan and Jellybean Lake oxygen isotope records, and is most likely reflective of periodic changes in available moisture in the region resulting from alterations in the strength and position of the Aleutian Low pressure system. However, millennial-scale climate variability identified in ice core and sediment records had little impact on the forests of the region.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.187
Teacher spread0.161 · 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

Citations6
Published2012
Admission routes4
Has abstractyes

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