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Record W2907100501 · doi:10.1093/jahist/jax546

From #BlackLivesMatter to Black Liberation

2018· article· en· W2907100501 on OpenAlexaff
Karen Ferguson

Bibliographic record

VenueJournal of American History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBlack PowerSolidarityPolice brutalityState (computer science)Political scienceScholarshipSociologyCivil rightsGender studiesLawCriminologyPolitics

Abstract

fetched live from OpenAlex

This book is premised on the question of how and why the Black Lives Matter movement, arguably the most broad and successful black activism since the civil rights and black power eras, emerged during the tenure of the first black president, and what that can reveal about the prospects of building another sustained freedom movement in the United States. Keeanga-Yamahtta Taylor asks these questions to frame the book's larger purpose: to advocate for an independent, anticapitalist, socialist movement spearheaded by African Americans but based on intersectional solidarity among all of those victimized by the growing economic inequality and state repression in the United States. While this is not a work of academic history, Taylor's analysis and arguments are deeply historical, based on a comprehensive synthesis of the scholarship on the long civil rights movement and analysis of the structural origins of persistent racial inequality in the United States. She provides a thorough survey of the dismal economic reality lived by most black Americans, the dismantling of the welfare state and the corresponding rise of the carceral state, and never-ending state-sanctioned violence against minority communities—most visible through police brutality.

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 categoriesScience and technology studies, 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 score0.141
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
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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