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Specters of Indigeneity in British-Indian Migration, 1914

2012· article· en· W1584017231 on OpenAlexaboutno aff
Renisa Mawani

Bibliographic record

VenueLaw & Society Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPoliticsColonialismDominionSociologyLawConversationAppealMedia studiesHistoryGender studiesPolitical science

Abstract

fetched live from OpenAlex

Colonial legal histories of indigeneity and British-Indian migration have not often been placed in conversation with one another. This article pursues such a project by tracing indigeneity as a spectral presence that emerged with uneven regularity in juridico-political conflicts over British-Indian migration. Specifically, I focus on the 1914 journey of the Komagata Maru , a Japanese steamship carrying 376 Punjabi migrants that sailed from Hong Kong to Shanghai, Moji to Yokohama, and across the Pacific, eventually arriving in Vancouver, Canada. Crisscrossing continents and approaching law in its broadest sense, I explore three struggles over the ship and its passengers: a satirical cartoon published in the Hindi Punch (Bombay), a legal test case heard by the British Columbia Court of Appeal (Vancouver), and a public debate on the racial meanings of Imperial subjecthood that ensued among Indian middle-class supporters of the ship and unfolded in English newspapers in various Indian cities. In each moment of struggle, I examine the changing conceptions of indigeneity that were strategically appropriated, never by indigenous peoples themselves or on their own terms, but by the Dominion of Canada and by British Indians, each deploying indigeneity to its own advantage and to achieve particular effects. Ultimately, this article considers the political and legal work that the spectral figure of indigeneity performed, the conceptions of time that underwrote its recurrence, and the temporalities that it sustained and called into question.

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)0.001
metaresearch head score (Gemma)0.000
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: Review · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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
GenreReview

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

Citations31
Published2012
Admission routes1
Has abstractyes

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