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Record W1529571498

Towards Socialism with a Small 's:' Buchi Emecheta’s Second-Class Citizen and the Reconsideration of Welfare State Nostalgia

2013· article· en· W1529571498 on OpenAlexaffvenue
Kasim Husain

Bibliographic record

VenuePostcolonial text · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHegemonyState (computer science)PoliticsNeoliberalism (international relations)SociologySocialismWelfare stateHuman welfareWelfareClass analysisDemocracyClass (philosophy)Political economyGender studiesPolitical scienceLawEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This article complicates recent calls for a return of the welfare state by historicizing its deleterious effects on racialized subjects in Britain through an analysis of Buchi Emecheta’s 1974 novel, Second-Class Citizen. The article examines the notion that the human costs of reviving state-centric policies aimed at countering the current hegemony of neoliberalism are worth the price, as exemplified by Tony Judt’s late-career call for a return of the welfare state. In accordance with Jennifer Wenzel’s concept of “anti-imperialist nostalgia,” I read Emecheta's text as militating against a simplistic left liberal nostalgia for the welfare state, seeking both political possibility in this past political formation while remaining vigilantly critical of its excesses. Just as Emecheta advocated a nuanced feminism that responds to material exigencies, rather than adhering rigidly to Eurocentric ideals, so this re-reading of her novel demonstrates the risks of an overly doctrinaire re-implementation of social democratic ideas.

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)0.002
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.015
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.236
Teacher spread0.219 · 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
Published2013
Admission routes2
Has abstractyes

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