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Record W2760773169 · doi:10.1086/ahr.114.2.425

:Drawing the Global Colour Line: White Men's Countries and the International Challenge of Racial Equality.<i>(Critical Perspectives on Empire.)</i>

2009· article· en· W2760773169 on OpenAlexaboutno aff
Alan Lester

Bibliographic record

VenueThe American Historical Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)Context (archaeology)ColonialismPower (physics)Privilege (computing)PoliticsAudience measurementEmpireHistoryGender studiesPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

This is an important book, for colonial and imperial historians; world historians; Australian, New Zealand, South African, Canadian, U.S., Chinese, and Japanese historians; and for scholars of human rights. Simply listing its breadth of readership indicates the vast scope of the book and the multiple terrains across which it ranges. Essentially, it is an account of the traffic in ideas constructed by white men during the late nineteenth and early twentieth centuries to bolster what W. E. B. Du Bois called the “color line”—that bundle of discourses, practices, and policies that maintained white privilege and power against the growing African and Asian “threat” in the British dominions and the United States. Two analytical devices allow such a complex and enormous terrain to be traversed without loss of direction. One is focusing on certain key individuals who engaged in influential dialogues about “race” from their respective sides of the “color line.” The effects of writings and speeches made by individuals—ranging from Lowe Kong Meng in Melbourne through Theodore Roosevelt, James Bryce, and Charles Pearson in the United States, Great Britain, and Australia, respectively, to Mohandas K. Gandhi in South Africa and India—are traced as far as possible through their personal and political networks. Once the context has been established in part one of the book, with an account of Chinese migration to the Australian goldfields and the white fears that it generated, such individuals and their texts form the basis of discussion, especially in part two.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.375
Teacher spread0.333 · 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.

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

Citations3
Published2009
Admission routes1
Has abstractyes

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