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Record W1893404042 · doi:10.3138/cart.50.3.2857

Eight Islands on Four Maps: The Cartographic Renegotiation of Hawai‘i, 1876–1959

2015· article· en· W1893404042 on OpenAlexvenueno aff
John Wyatt Greenlee

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsCentennialPoliticsIndigenousSovereigntyMainlandAnnexationGeographyPacific islandersEthnologyHistoryGenealogyArgument (complex analysis)CartographyAnthropologyArchaeologyLawPolitical scienceSociologyEthnic group

Abstract

fetched live from OpenAlex

The history of Hawai‘i's relationship with the United States is marked by continued attempts on the part of the islanders to renegotiate Hawai‘i's place in the American political imagination. In three separate instances, those efforts took cartographic shape. In 1876, with the Kingdom of Hawai‘i beginning to feel the leading waves of US imperialism, the kingdom sent a modern, scientific map to the Centennial World's Fair in Philadelphia, making an argument for Hawaiian sovereignty. In 1893, with the question of annexation on the table after the overthrow of the Hawaiian monarchy, haole insurrectionists endorsed a map depicting the islands' proximity to and reliance on the United States – a map that showed the indigenous Hawaiian peoples as barbarous and unable to rule themselves without Western intervention. And in 1937 the Hawaiian Pineapple Company (Dole) commissioned a tourist map of the territory that sought to tame Hawai‘i in the mainlanders' imagination even as the islands' business leaders began their first serious push for statehood. These three maps, set alongside each other, demonstrate a long and contested discussion between the islands and the mainland about how the United States understood Hawai‘i and Pacific politics: a cartographic conversation that remained thematically consistent across multiple iterations of Hawaiian governments.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.023
GPT teacher head0.302
Teacher spread0.279 · 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 designNot applicable
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

Citations10
Published2015
Admission routes1
Has abstractyes

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