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Record W1504746996 · doi:10.7916/cjrl.v1i3.2255

The Legal Politics of Hubert H. Harrison: Excavating a Lost Legacy

2012· article· en· W1504746996 on OpenAlexaff
Ravi Malhotra

Bibliographic record

VenueSSRN Electronic Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRacismPoliticsLawNationalismWhite supremacyWhite (mutation)SociologyLeaguePolitical scienceCritical race theoryGender studies

Abstract

fetched live from OpenAlex

Critical race theorists (CRT) have cogently argued the need for anti-racist struggles in the post-civil rights era to address the fact that integration has hardly resolved the continued marginalization and discrimination of African Americans in housing, employment, and many other dimensions and to reflect on how law facilitates racial subordination in the post-civil rights era. However, this Essay suggests that these arguments can be better understood and enriched by a deep appreciation of the breathtaking legacy of Hubert Henry Harrison (1883-1927) and a close reading of his works. As a working class activist and intellectual in both the Socialist Party and the Industrial Workers of the World (IWW), Harrison was later a major influence in Marcus Garvey's nationalist movement and the New Negro Movement, editor of The Voice and The Negro World, and the founder of the Liberty League. Largely lost to history, Harrison's astonishing body of work on racism and the political issues of his time force us to rethink a period of African American history that typically has been regarded as a low point in the struggle against racism and white supremacy. Yet in fact, Harrison found answers to the questions that would haunt advocates of racial equality for years to come.

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)0.005
metaresearch head score (Gemma)0.011
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 score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.042
Scholarly communication0.0090.011
Open science0.0010.004
Research integrity0.0070.010
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 head0.010
GPT teacher head0.283
Teacher spread0.272 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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