MétaCan
Menu
Back to cohort

The Origins and Development of Arctic Maritime Adaptations in the Subarctic and Arctic Pacific

2016· book· en· W2521218724 on OpenAlexaboutno aff
Ben Fitzhugh

Bibliographic record

VenueOxford University Press eBooks · 2016
Typebook
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSubarctic climateArcticOceanographyGeographyArctic ecologyHoloceneSettlement (finance)BeringiaPleistoceneGeologyArchaeology

Abstract

fetched live from OpenAlex

This chapter explores the antiquity and evolution of Subarctic maritime traditions in the Beringian North Pacific—precursors of maritime cultures that ultimately pushed north and east across the Canadian and Greenlandic Arctic. Boat-based, maritime economies and settlement show up by the Pleistocene-Holocene transition in the relatively warm Subarctic Northeast Pacific (Gulf of Alaska and Aleutians) but appear delayed by 5,000 or more years in the Northwest Pacific and Bering and Chukchi seas. Potential biases of preservation and research histories are examined and dismissed, and two environmental models are proposed to explain the delay (or disruption) of maritime settlement in the seasonally frozen Okhotsk, Bering, and Chukchi seas. Late Holocene maritime traditions intensify and converge in all regions of the Subarctic and Arctic Pacific over the past 2,000–3,000 years, forging a common ecological, economic, technological, and social orientation, where none had previously existed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.038
GPT teacher head0.273
Teacher spread0.235 · 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

Citations22
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooksSame topicIndigenous Studies and EcologyFrench-language works237,207