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Record W2402716874 · doi:10.1111/lsi.12201

“Please Check the Appropriate Box”: Documents and the Governance of Domestic Violence

2016· article· en· W2402716874 on OpenAlexaboutno aff
Rashmee Singh

Bibliographic record

VenueLaw & Social Inquiry · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGrassrootsDomestic violencePleaPolitical scienceLawState (computer science)WrongdoingPower (physics)SovereigntyNothingCriminologySociologyPoison controlSuicide preventionPolitics

Abstract

fetched live from OpenAlex

This analysis examines the effects of administrative templates on legal responses to domestic violence. The discussion focuses on a set of intake forms deployed by a team of grassroots workers who routinely attend Toronto's specialized domestic violence plea courts to enroll defendants into counseling programs. Although these documents are nothing more than mundane, administrative forms, they are crucial to generating the formations required to govern domestic violence through the criminal justice and community partnerships on which the plea courts rely. Along with redefining the responsibilities of the legal and grassroots actors involved in the court network, the documents also generate and formalize notions of wrongdoing that prove to be far more effective in resolving cases than traditional guilty pleas. This analysis illuminates how forms permit the retreat and reassertion of state sovereignty as required in legal regimes involving devolution. It also underscores the methodological importance of constitutive analyses of documents to illuminating machinations of penal power.

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)0.003
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.007
Scholarly communication0.0090.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.003

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 head0.024
GPT teacher head0.328
Teacher spread0.303 · 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 designQualitative
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

Citations5
Published2016
Admission routes1
Has abstractyes

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