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Record W4232929054 · doi:10.3138/cras.39.3.273

Where Did the Black Rough Riders Go?

2009· article· en· W4232929054 on OpenAlexvenueno aff
Christine Bold

Bibliographic record

VenueCanadian Review of American Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsFrontierExpansionismMilitarismAdventureWhite (mutation)IdeologyHistoryMythologyGender studiesPolitical scienceSociologyLawPoliticsArt historyArchaeologyClassics

Abstract

fetched live from OpenAlex

The Spanish-American War was a key moment in the development of U.S. imperialism and the popular western. Its iconic figure was Roosevelt's rough rider—the Anglo-Saxon gentleman cowboy par excellence—who yoked frontier heroism to overseas militarism, in the process justifying American extra-continental expansionism and extending the ideological reach of the western. The black military presence in Cuba—and, subsequently, Puerto Rico and the Philippines—threatened that process by challenging white superiority on the western frontier and the imperial battlefield. When white myth makers suppressed this story of black heroism, they drove it deep into the western's creative fabric. By following the fortunes of black soldiers, in print and in society, we can recognize how deeply the western formula is motivated and shaped by the blackness it denies and to what different ends African-American writers yoked western adventure, military action, and meanings of manhood in the United States.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score0.349

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.010
Scholarly communication0.0060.006
Open science0.0010.001
Research integrity0.0020.003
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 head0.025
GPT teacher head0.329
Teacher spread0.305 · 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
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

Citations1
Published2009
Admission routes1
Has abstractyes

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