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Record W2315197203 · doi:10.3167/hrrh.2015.410108

South African Remains: E. P. Thompson, Biko, and the Limits of The Making of the English Working Class

2015· article· en· W2315197203 on OpenAlexvenueno aff
Isabel Hofmeyr

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)Making-ofClass (philosophy)Movement (music)ConsciousnessSociologyMarginaliaRace (biology)Gender studiesHistoryAestheticsLiteratureArtEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

E. P. Thompson's The Making of the English Working Class exercised a substantial influence on the South African academy and acted as a key shaper of a “history from below” movement in the 1980s. While Thompson's influence in South Africa has been celebrated, the limits of his circulation are less frequently explored. This article takes on this task by placing The Making alongside Steve Biko's I Write What I Like. Biko was a major figure in the emergence of the Black Consciousness Movement (BCM). The article compares the interlinked formations of which the two texts formed a part—the BCM displaced white radical intellectuals, who retreated into class analysis as an analytical alternative to race. The article also examines specific copies of the two titles found in South African libraries and uses the different patterns of marginalia as a way of tracing the individual impacts of the two texts.

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)0.003
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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.008
Scholarly communication0.0060.005
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.086
GPT teacher head0.315
Teacher spread0.229 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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