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Introduction

2019· article· en· W2884144380 on OpenAlexaffabout
Sarah Turnbull, Joane Martel, Debra Parkes, Dawn Moore

Bibliographic record

VenueOñati Socio-legal Series · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsCarleton UniversityUniversity of British Columbia
Fundersnot available
KeywordsPrisonEthnographyHuman rightsContext (archaeology)Action (physics)SociologyPolitical scienceHumanitiesCriminologyLawGender studiesAnthropologyArtGeography

Abstract

fetched live from OpenAlex

This collection of essays grew out of the workshop Critical Prison Studies, Carceral Ethnography, and Human Rights: From Lived Experience to Global Action held at the International Institute for the Sociology of Law (Oñati, Spain) in June 2016. The papers explore some of the challenges and possibilities of critical prison research, ranging from issues arising in university research ethics reviews to the limitations of penal reform efforts to end the practice of solitary confinement. Each essay is embedded in a different penal context: Australia, Italy, Russia, Canada, and the United States; and each contributes to broader discussions of critical prison research, utilizing new and old methods and sources, including the ‘netnography’ of prisoner websites and the archives of anti-carceral feminist campaigners. Collectively, the essays bring new insights and methods into scholarly and activist conversations aimed at understanding and responding to the harms of incarceration.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.268
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; both teacher heads agree on what is shown here.

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

Citations3
Published2019
Admission routes2
Has abstractyes

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