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Record W2088505054 · doi:10.1163/1569206x-12341304

Hillbilly Nationalists, Urban Race Rebels, and Black Power: Community Organizing in Radical Times, Amy Sonnie and James Tracy, New York: Melville House, 2011; The Hidden 1970s: Histories of Radicalism, edited by Dan Berger, New Brunswick: Rutgers University Press, 2010; Stayin’ Alive: The 1970s and the Last Days of the Working Class, Jefferson Cowie, London: The New Press, 2010

2013· article· en· W2088505054 on OpenAlexaffabout
Ravi Malhotra

Bibliographic record

VenueHistorical Materialism · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical radicalismNationalismOppressionPower (physics)PoliticsIndigenousBlack PowerRace (biology)Nationalist MovementSociologyWhite (mutation)Gender studiesHistoryLawPolitical science

Abstract

fetched live from OpenAlex

Abstract Amy Sonnie and James Tracy’s Hillbilly Nationalists, Urban Race Rebels, and Black Power , Dan Berger’s anthology The Hidden 1970s and Jefferson Cowie’s Stayin’ Alive , in different ways, articulate an understanding of the political ferment that gripped the United States in the late 1960s and 1970s and its complex legacy for those struggling to change the world today. While Cowie provides a broad-brush if ultimately flawed overview of labour’s declining influence during the 1970s, Sonnie and Tracy focus their attention on five radical organisations that challenged deep divisions of race to condemn inequality and oppression, and Berger similarly encompasses contributions evaluating the impact of a variety of left organisations including the Puerto Rican nationalist movement, indigenous and Black nationalist quests to establish self-determination, and the extraordinary Sojourner Truth Organization. This review critically evaluates the strengths and weaknesses of the arguments made by Sonnie and Tracy, Berger and Cowie and suggests how they may be helpful for future struggle.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.569
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.201
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes2
Has abstractyes

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