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Record W4391278229 · doi:10.1353/gpq.2023.a918407

From Blood Quantum to Liquid Gold: Black Creeks and Oklahoma’s First Resource Curse

2023· article· en· W4391278229 on OpenAlexaboutno aff
Russell Cobb

Bibliographic record

VenueGreat plains quarterly · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsResource curseCurseResource (disambiguation)QuantumNatural resource economicsGeographyPolitical scienceSociologyEconomicsPhysicsNatural resourceComputer scienceQuantum mechanicsAnthropologyLaw

Abstract

fetched live from OpenAlex

Abstract: This article investigates one of the most litigated and controversial court cases over Dawes enrollments in Oklahoma history from the perspective of Sally Atkins (1855–1924). Atkins, born into slavery in Missouri, married into an estelvste (African Creek) family in Indian Territory after the Civil War. Atkins migrated to Canada following statehood but was drawn back to Oklahoma by 1917. She believed her son, Tommy, to be the rightful allottee of one quarter section of the Cushing-Drumright Oilfield, the richest oilfield in the nation at the time. This claim drew Atkins into conflict with some of the most powerful oilmen in the state, who believed that another woman—a “full-blood” Muscogee—was Tommy’s mother. Who was the real mother of Tommy? State and federal officials, along with newspaper reporters, adjudicated the case based on their preconceived notions of race and “blood” in Indian Country, leading to confounding conclusions about racial categories, mineral wealth, and kinship. Many of these notions were then codified into state laws in Oklahoma. In this article, I untangle the shifting notions of bloodlines and property rights to show how the bureaucratic imperialism of the Dawes Commission fixed white supremacist notions of race for people recognized as “Black” in Indian Territory.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.011
GPT teacher head0.200
Teacher spread0.189 · 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

Citations21
Published2023
Admission routes1
Has abstractyes

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Same venueGreat plains quarterlySame topicAmerican History and CultureFrench-language works237,207