MétaCan
Menu
Back to cohort
Record W4396903733 · doi:10.1177/0308518x241251671

What does capital consume? Racial capitalism and the social reproduction of surplus people

2024· article· en· W4396903733 on OpenAlexaff
Rachel Goffe, Nikki Luke

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsCapitalismReproductionSocial reproductionSurplus valueCapital (architecture)EconomicsSocial capitalSociologyNeoclassical economicsPolitical scienceSocial scienceGeographyEcologyBiologyLaw

Abstract

fetched live from OpenAlex

This intervention considers uneven development and social reproduction within racial capitalism. Social reproduction refers to the range of practices that form the conditions of possibility for the life of capital, as well as life and death within racial capitalism. This spans a range of institutions and networks within households, communities, states and across national borders as well as the labour practices, relations and organization that reproduce racial capitalism. Here, we examine the extraction of time, taking up theorizations across carceral geographies, postcolonial theory and Caribbean studies to demonstrate how coercive relations of social reproduction contribute to uneven development. In particular, we look at the role of the state in racial capital’s capture of reproductive activities across our work on electric utilities in Atlanta, Georgia and extralegal land tenure on Jamaica’s north coast. In bringing these distinct sites into conversation, we re-affirm the need to study uneven development by understanding how the circulation and accumulation of capital is imbricated with the production of hierarchies of all kinds of difference. We show how a conjunctural countertopography can reveal how state practices advance accumulation under conditions of widespread surplus lives, as capital wagers on captive life and premature death.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.244
Teacher spread0.234 · 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.

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

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEnvironment and Planning A Economy and SpaceSame topicMigration, Ethnicity, and EconomyFrench-language works237,207