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Record W4230646940 · doi:10.1215/15366936-8566133

Challenging Convictions

2020· article· en· W4230646940 on OpenAlexaboutno aff
Lena Palacios

Bibliographic record

VenueMeridians · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisIndigenousGender studiesSovereigntySociologyRace (biology)PoliticsPrisonArgument (complex analysis)State (computer science)Political scienceCriminologyLaw

Abstract

fetched live from OpenAlex

Abstract This essay, with accompanying lesson plan, explores how race-radical Black and Indigenous feminists theorize and resist the carceral state violence of White settler nations of Canada and the United States. It focuses on the theoretical interventions driven by Indigenous and Black race-radical feminists and how this has placed these activists at the forefront of anti-violence movement-building. Such an intervention specifically upholds the tensions within and refuses to collapse political approaches of Indigenous movements for sovereignty and Black race-radical traditions. Its transnational, comparative focus helps us to not only identify but to create multiple strategies that dismantle the carceral state and the racialized gendered violence that it mobilizes and sustains. Proceeding from the argument that both prison abolitionist praxis and race-radical feminist praxis are inherently and primarily pedagogical, the lesson plan explores the ways we learn, teach, and organize in a manner that teaches against the grain of carceral common sense.

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)0.009
metaresearch head score (Gemma)0.023
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: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0180.036
Scholarly communication0.0110.007
Open science0.0020.009
Research integrity0.0090.018
Insufficient payload (model declined to judge)0.0110.002

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 head0.049
GPT teacher head0.309
Teacher spread0.260 · 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
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

Citations3
Published2020
Admission routes1
Has abstractyes

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