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Carceral Liberalism

2023· book· en· W4399088940 on OpenAlexaboutno aff
S. Sundar and Y. Justin Koil Pillai

Bibliographic record

VenueUniversity of Illinois Press eBooks · 2023
Typebook
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLiberalismSociologyLaw and economicsPolitical scienceCriminologyPhilosophyLawPolitics

Abstract

fetched live from OpenAlex

This book moves forward feminist conversations around the carceral state as conceived in the works of Angela Davis, Julia Sudbury, Michelle Alexander and Ruth Wilson Gilmore. Through a careful interrogation of the violence of the state, the scholars herein who range across the humanities to the social sciences and include poets and first-person non-fiction writers, re-conceptualize ‘carceral liberalism’ as the violence at the nexus of patriarchy, capitalism, imperialism, and liberalism. The editor grounds the resistance to ‘carceral liberalism’ through the intellectual framework provided in the visions of radical Black feminism dating from Combahee River Collective (1977) to Black Lives Matter (BLM) more recently. The book offers a feminist counterpoint to re-imagining ideologies of anti-blackness, anti-woman and anti-worker.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.053
GPT teacher head0.220
Teacher spread0.167 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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