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Plea Bargaining, Conviction Without Trial, and the Global Administratization of Criminal Convictions

2020· article· en· W3010526667 on OpenAlex
Máximo Langer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnnual Review of Criminology · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
FundersMcGill University
KeywordsPleaConvictionLawPolitical scienceCriminal trialCriminal procedureCriminal justiceCriminologyCriminal ConvictionCriminal lawPhenomenonPsychology

Abstract

fetched live from OpenAlex

This article documents the diffusion of plea bargaining and other mechanisms to reach criminal convictions without a trial and argues that their spread implies what this article terms an administratization of criminal convictions in many corners of the world. Criminal convictions have been administratized in two ways: ( a) Trial-avoiding mechanisms have given a larger role to nonjudicature, administrative officials in the determination of who gets convicted and for which crimes, and ( b) these decisions are made in proceedings that do not include a trial with its attached defendants’ rights. The article also proposes a way this phenomenon could be quantitatively measured by articulating the rate of administratization of criminal convictions, a metric to allow for comparison among different jurisdictions. The article then presents cross-national data from 26 jurisdictions on their rate of administratization of criminal convictions and different hypotheses that may help explain variation across jurisdictions on this rate.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.083
GPT teacher head0.294
Teacher spread0.211 · 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