MétaCan
Menu
Back to cohort
Record W2033091530 · doi:10.1191/0309133305pp444ra

Thermal history of the Arctic Ocean environs adjacent to North America during the last 3.5 Ma and a possible mechanism for the cause of the cold events (major glaciations and permafrost events)

2005· article· en· W2033091530 on OpenAlexaffabout
Stuart A. Harris

Bibliographic record

VenueProgress in Physical Geography Earth and Environment · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTundraArcticGeologyPermafrostOceanographyClimatologySubarctic climateSea iceGlacial periodNorthern HemispherePhysical geographyPaleontologyGeography

Abstract

fetched live from OpenAlex

At 3.5 Ma, the Arctic Ocean was unfrozen, and only during the second Pliocene cold event (Californian - 3.0 Ma) did an extensive glaciation occur in Alaska-Yukon and Iceland. The sea froze during the third (Alaskan - 2.58 Ma) event as the western Arctic cooled rapidly. Baffin Island and Labrador were the centres of ice sheets, and ice-rafted debris appeared in the North Atlantic. Shrub-tundra replaced boreal forest in the west during the next warm episode but forested-shrubtundra persisted in north Greenland during the next (Wyoming - 2.2 Ma) cold event. During the last Pliocene (Montanan - 1.9 Ma) cold event, tundra surrounded the Arctic basin with widespread permafrost in unglaciated areas. Quaternary cold events were more frequent, with tundra persisting on land during warm episodes, although coastal seas usually thawed seasonally. There was a continuous cooling trend due to the demise of the Tethyan sea, but the 18 O marine curve shows about 130 fluctuations compared with 14 major cold events on land. The cause of the terrestrial changes seems to be the interaction of many cyclical controls with different periodicities. When enough cycles are synchronized for air temperature to cross a critical threshold, a climatic change occurs. The critical thresholds are dependent on local environments and latitude.

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)0.000
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 score0.004
Threshold uncertainty score0.313

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 studies0.0000.001
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 head0.007
GPT teacher head0.196
Teacher spread0.189 · 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

Citations41
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueProgress in Physical Geography Earth and EnvironmentSame topicGeology and Paleoclimatology ResearchFrench-language works237,207