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Record W4391646617 · doi:10.1017/s0021875823000580

The White Fraud: White Elephants, Siam, and Comparative Racialization

2023· article· en· W4391646617 on OpenAlex
Ross Bullen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of American Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsRacializationWhite (mutation)Race (biology)Political scienceSociologyGender studiesBiology

Abstract

fetched live from OpenAlex

In this paper I examine P. T. Barnum's attempt to bring the first “sacred white elephant” to America, and his subsequent “white elephant war” with rival showman Adam Forepaugh, through the lens of Afro-Asian comparative racialization. I look at several accounts of white elephants that describe their skin color in terms of the US's Black/white race dichotomy and ask why this animal was a popular figure for examining the US's shifting attitude toward race and transpacific imperialism in the late nineteenth century. By reading the “white elephant war” through a comparative framework, I argue that the heterogeneous histories of both African American and Asian racialization inhered and intersected in this specific instance of racial comparison, while tracking the overlaps and oversights that this analysis reveals.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
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 head0.053
GPT teacher head0.373
Teacher spread0.320 · 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