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Record W3217332493 · doi:10.1017/9781108878623.015

The Colonial Pacific

2021· book-chapter· en· W3217332493 on OpenAlexaff
Michelle Burnham

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsColonialismScholarshipNarrativeHistoryEmpireLiterary criticismIndigenousLiteraturePolitical scienceArtAncient historyArchaeologyLaw

Abstract

fetched live from OpenAlex

Where is the Pacific in colonial American literary studies? Nowhere, according to our anthologies, literary histories, syllabi, and scholarship, which all seem to agree that the Pacific enters American literary studies only well after the colonial period. This chapter provides an overview of scholarship on the colonial Pacific to suggest what it looks like, why it is important, and how we might begin to incorporate it into our literary histories. It insists on the inclusion of Indigenous literary and political histories from the Pacific and on recognizing the long and complicated intersection of these with Chinese and other Asian trade histories as well as with European empire and commerce. These contexts are crucial for shaping the recovery, integration, and understanding of Pacific texts into a global American literary history. Our literary anthologies and histories – and the narratives they implicitly or explicitly tell – need to reach into Indigenous, international, and multilingual colonial pasts. The story of America we currently tell and teach is a very different one than it would be if we included the colonial Pacific; this chapter provides some initial building blocks from which to construct a new, critical, transoceanic narrative for early American literary studies.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.080

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 studies0.0090.009
Scholarly communication0.0070.004
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.214
Teacher spread0.198 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

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