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The Shifting Borderlands of the North Pacific Coast

2022· book-chapter· en· W4391083766 on OpenAlexaboutno aff
Andrea Geiger

Bibliographic record

VenueUniversity of North Carolina Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsHomelandIndigenousGeopoliticsColonialismAnnexationGeographySovereigntyMaritime boundaryGovernment (linguistics)Political scienceHistoryEthnologyEconomic historyEconomyArchaeologyInternational lawPoliticsLaw

Abstract

fetched live from OpenAlex

Chapter 1 traces the historical contexts that set the stage for the convergence of British, American, and Japanese interests along the Pacific coast of North America during the early twentieth century, focusing on the legal and geopolitical contests among European imperial powers that help to explain the contours that national borders that later cut across the region would assume, as well as the role that Indigenous resistance to colonial intrusion played in the articulation of these boundaries. It situates these events within the broader framework of colonial endeavor around the North Pacific Rim that led to US acquisition of Russian interests in Alaska in 1867, the same year that Canada entered confederation and the Tokugawa shogunate came to an end. The new Meiji government’s incorporation of the Ainu homeland it renamed Hokkaido within Japanese borders and its determination to remake Japan as a modern, imperial nation, together with the demand for labor that followed the formal incorporation of the north Pacific borderlands by Canada and the United States, created the conditions that led Japanese labor emigrants to cross the Pacific Ocean in search of employment opportunities.

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 score0.164
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.006
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.016
GPT teacher head0.204
Teacher spread0.188 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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