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Regional Overview of Interior Alaska

2006· book-chapter· en· W3099681573 on OpenAlexaboutno aff
David A. Stone, David L. Verbyla

Bibliographic record

VenueOxford University Press eBooks · 2006
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyFoothillsPhysiographic provinceCoastal plainPermafrostArcticPlateau (mathematics)ThermokarstPleistoceneAlluvial plainAlluviumGlacial periodBorealTaigaColorado plateauPhysical geographyOceanographyGeomorphologyPaleontologyGeographyForestry

Abstract

fetched live from OpenAlex

From continental macroclimate to microalluvial salt crusts, geology is a dominant factor that influences patterns and processes in the Alaskan boreal forest. In this chapter, we outline important geologic processes as a foundation for subsequent chapters that discuss the soil, hydrology, climate, and biota of the Alaskan boreal forest. We conclude the chapter with a discussion of interior Alaska from a regional perspective. Alaska can be divided into four major physiographic regions. The arctic coastal plain is part of the Interior Plains physiographic division of North America, analogous to the great plains east of the Rocky Mountains. The arctic coastal plain is predominantly alluvium underlaid by hundreds of meters of permafrost, resulting in many thaw lakes and ice wedges. South of the arctic coastal plain lies the Northern Cordillera, an extension of the Rocky Mountain system dominated by the Arctic Foothills, Brooks Range, Baird Mountains, and Delong Mountains. These mountains were glaciated during the Pleistocene. South of the Brooks Range lies interior Alaska, which is an intermontane plateau region analogous to the Great Basin/Colorado Plateau regions. This extensive region is characterized by wide alluvium-covered lowlands such as the Yukon Flats, Tanana Valley, and Yukon Delta, as well as moderate upland hills, domes, and mountains. Largely unglaciated, this region served as a refugium for biota during glacial periods. With the Northern and Southern Cordilleras acting as barriers, the major rivers of this region have long, meandering paths to the Bering Sea. The Southern Cordillera is composed of two mountain ranges: the Alaska Range to the north and the Kenai/Chugach/Wrangell-St. Elias Mountains to the south. The lowland belt between these mountains includes the Susitna and Copper River lowlands. The entire Southern Cordillera was glaciated during the Pleistocene and today has extensive mountain glaciers. Much of Alaska is made up of multiple geologic fragments that have been rafted together by the movements of the major plates called tectonic terranes (Thorson 1986, Connor and O’Haire 1988). Plate-tectonic theory explains such observations as the changing distribution of fossils with geologic time, the deep Aleutian Trench, high Alaskan mountain barriers, and mountain glaciers.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.088
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0700.030

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 head0.077
GPT teacher head0.225
Teacher spread0.147 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations8
Published2006
Admission routes1
Has abstractyes

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