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Record W3033082614 · doi:10.1017/s1537781420000092

“I Am Already Annexed”: Ramon Reyes Lala and the Crafting of “Philippine” Advocacy for American Empire

2020· article· en· W3033082614 on OpenAlexaff
Theresa Ventura

Bibliographic record

VenueThe Journal of the Gilded Age and Progressive Era · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsConcordia University
Fundersnot available
KeywordsEmpireColonialismPolitical sciencePoliticsNationalityNationalismGender studiesRacismCitizenshipHistoryEconomic historyImmigrationSociologyLaw

Abstract

fetched live from OpenAlex

Abstract This article reconstructs the American career of the Manila-born author Ramon Reyes Lala. Lala became a naturalized United States citizen shortly before the War of 1898 garnered public interest in the history and geography of the Philippines. He capitalized on this interest by fashioning himself into an Oxford-educated nationalist exiled in the United States for his anti-Spanish activism, all the while hiding a South Asian background. Lala's spirited defense of American annexation and war earned him the political patronage of the Republican Party. Yet though Lala offered himself as a ‘model’ Philippine-American citizen, his patrons offered Lala as evidence of U.S. benevolence and Philippine civilization potential shorn of citizenship. His embodied contradictions, then, extended to his position as a producer of colonial knowledge, a racialized commodity, and a representative Filipino in the United States when many in the archipelago would not recognize him as such. Lala's advocacy for American Empire, I contend, reflected an understanding of nationality born of diasporic merchant communities, while his precarious success in the middle-class economy of print and public speaking depended on his deft maneuvering between modalities of power hardening in terms of race. His career speaks more broadly to the entwined and contradictory processes of commerce, race formation, and colonial knowledge production.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.021
GPT teacher head0.294
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 designQualitative
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

Citations2
Published2020
Admission routes1
Has abstractyes

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