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Record W2991100449 · doi:10.22329/csw.v11i2.5822

A Genealogy of Poverty

2019· article· en· W2991100449 on OpenAlexaffvenue
Anne Joseph O’Connell

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsYork University
Fundersnot available
KeywordsHistoriographyIdeologyBourgeoisiePovertyEmpireColonialismPopulationAllianceSociologyPolitical economyPower (physics)Welfare stateGender studiesGenealogyPolitical scienceDevelopment economicsHistoryPoliticsLawEconomicsDemography

Abstract

fetched live from OpenAlex

Genealogical investigations that attend to colonial rule reveal the intimate alliance between social welfare policy, racial slavery and modern power. In this paper, I intervene in the historiography of social welfare policy to disrupt a long line of academic study that severs studies on the poor from the history of racial slavery. This separation is enormously productive and conceals the ways in which knowledge systems and social policies are organized by and through racial ideologies, early liberalism and its use of population science. To illustrate this point, I show how concerns with knowing and targeting the bodies of poor and enslaved women helped formulate the new economy, white bourgeois power and the extension of empire.

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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.018
Scholarly communication0.0030.005
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.319
Teacher spread0.302 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

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