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Hearing with an Imperial Ear: Racializing the PC Band on their Tour of America in 1909

2021· book-chapter· en· W4285376690 on OpenAlexaboutno aff
Mary Talusan

Bibliographic record

VenueUniversity Press of Mississippi eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsRacismWhite (mutation)Gender studiesNewspaperIdentity (music)Diversity (politics)HistoryOrientalismExposition (narrative)Political scienceSociologyMedia studiesLawLiteratureArtAesthetics

Abstract

fetched live from OpenAlex

In 1909, President-elect Taft summoned the Philippine Constabulary Band back to the United States at great expense to perform at his presidential inauguration, breaking racial decorum to emphasize his triumph in the Philippines. Afterward, they embarked on a concert tour that was attended by thousands in major concert halls before heading to the Alaska-Yukon-Pacific Exposition. Newspapers positively reviewed the Band’s musical performances while describing them in an orientalist fashion as abnormal and peculiar, for example, sensationalizing their “tribal” diversity while accentuating their uniformity in appearance. Often missing from these accounts was identification of Loving’s racial identity, an omission of the success of an African American in a leadership position. Americans’ paternalist racism towards Filipinos did not extend to African Americans, and Loving was barred from entering the White House. Black elites of Washington, DC praised Loving as a success of racial uplift. This chapter gives insight into a collaboration between Filipinos and Black Americans outside of the Philippines.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0160.003

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 head0.034
GPT teacher head0.231
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 designQualitative
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

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Same venueUniversity Press of Mississippi eBooksSame topicPhilippine History and CultureFrench-language works237,207