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Record W4293090274 · doi:10.1177/23326492221119888

Twenty-Five Years of Charles Mills’s <i>Racial Contract</i> in Sociology

2022· article· en· W4293090274 on OpenAlexaffabout
Neda Maghbouleh

Bibliographic record

VenueSociology of Race and Ethnicity · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSociologyScholarshipRacismPoliticsSociological theoryGender studiesLawSocial sciencePolitical science

Abstract

fetched live from OpenAlex

How have sociologists engaged the late philosopher Charles Mills’ landmark The Racial Contract (1997) in the twenty-five years since its publication? I first synthesize and periodize the corpus of sociological research citing The Racial Contract into two chronological and epistemological waves. The first wave (1997-2009) is distinguished by the scholarship of a vanguard who drew on the text, and direct engagement with Mills himself, in a paradigmatic shift away from the sociological study of race relations to the study of racism. The second wave (2010-present) is characterized by a fivefold increase in the text’s citation, tied to a resurgence of Du Boisian sociology and the early-career projects of a new generation of sociologists, as the text diffused from the sociology of race into other subfields of the discipline. I then go on to describe the influence of The Racial Contract on theory, data, and method in my own scholarship on racialization, first during my graduate studies in the United States, and later, as Sociology faculty in Canada at the University of Toronto, Mills’ alma mater. I end the essay with proposals for how a third wave of sociological engagement with The Racial Contract can more rigorously engage the text’s originating relationship to feminist political theory, as well as more actively be in dialogue with a new generation of critical philosophers who are already speaking back to us by centrally drawing on the work of sociologists.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.343
Teacher spread0.299 · 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 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

Citations6
Published2022
Admission routes2
Has abstractyes

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