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Record W4308705446 · doi:10.1017/9781108226875.033

Shrinking the Pacific since 1945

2022· book-chapter· en· W4308705446 on OpenAlexaffabout
Peter J. Rimmer, Howard W. Dick

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsArchipelagic stateAsia pacificPacific basinNotional amountGeographyChinaPacific RimEconomyPolitical scienceOceanographyGeologyBusinessEconomics

Abstract

fetched live from OpenAlex

Over recent decades the global economy has tilted from a trans-Atlantic Euro-American economy towards an Asia-Pacific one, a shift encapsulated by the term Pacific Century. Nine Group of Twenty (G20) nations – Australia, Canada China, Indonesia, Japan, Mexico, Russia, South Korea, and the USA – are contiguous with the Pacific Rim. Yet despite common use of the adjectives Pacific, trans-Pacific, and Asia-Pacific, the boundaries and structure of this notional economy are still vague. This chapter maps the articulation of a Pacific economy since 1945 through geologistics as a two-stage process, first reformation and densification of pre-war networks until the end of the 1960s, then transformation through the new technologies of container shipping, jet aircraft, and the Internet. It becomes apparent that this transformation had had much greater impact upon adjacent continental economies than upon the vast coastal and almost hollow archipelagic region that may be denoted as Pacifica.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0030.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.026
GPT teacher head0.213
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 designQualitative
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

Citations2
Published2022
Admission routes2
Has abstractyes

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