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Record W2025179088 · doi:10.1080/0031322x.2010.489732

New Panthers, old Panthers and the politics of black nationalism in the United States

2010· article· en· W2025179088 on OpenAlexaff
D. J. Mulloy

Bibliographic record

VenuePatterns of Prejudice · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMilitantNationalismPoliticsPolitical sciencePower (physics)Black PowerLeagueLawHistory

Abstract

fetched live from OpenAlex

The New Black Panther Party for Self-Defense has been a cause du scandale since it was formed in the early 1990s. Indeed, the Anti-Defamation League has described it as ‘the largest organized anti-Semitic and racist black militant group in America’. It is somewhat surprising, then, that there has been very little detailed analysis of the party and its activities. Mulloy begins to fill this gap by outlining the origins and development of the party, and by closely examining the ongoing dispute between the New Black Panthers and surviving members of the original Black Panther Party—established by Huey Newton and Bobby Seale in Oakland, California in 1966—over the right to claim the name, the history and the legacy of the Panthers in the United States. Critically assessing the strategies and actions of the New Black Panthers, Mulloy argues that its high-profile, media-centred approach to political activism has largely been a failure with regard to its overall aim of reviving the Black Power movement 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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.284
Teacher spread0.270 · 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 designQualitative
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
Published2010
Admission routes1
Has abstractyes

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