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Record W3167481417 · doi:10.1017/s0003055421000472

Jeremy Bentham: Pauperism, Colonialism, and Imperialism

2021· article· en· W3167481417 on OpenAlexaff
Barbara Arneil

Bibliographic record

VenueAmerican Political Science Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismOpposition (politics)IndigenousSubject (documents)Power (physics)Indirect ruleLawSociologyPolitical scienceHistoryPolitics

Abstract

fetched live from OpenAlex

Using two recently published folios by Jeremy Bentham, I draw out a fundamental but little-analyzed connection between pauperism and both domestic and settler colonialism in opposition to imperialism in his thought. The core theoretical contribution of this article is to draw a distinction between a colonial, internal, and productive form of power that claims to improve people and land from within, which Bentham defends, and an imperial, external, and repressive form of power that dominates or rules over people from above and afar, that he rejects. Inherent in colonialism and the power unleashed by it are specific and profoundly negative implications in practice for the poor and disabled of Europe in the nineteenth and early twentieth centuries subject to domestic colonialism and indigenous peoples subject to settler colonialism from first contact until today. I conclude Bentham is best understood as a pro-colonialist and anti-imperialist thinker.

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 score0.036
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.007
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.377
Teacher spread0.347 · 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

Citations16
Published2021
Admission routes1
Has abstractyes

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