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Record W2399915542

Comparative Reflections on Duncan v. Louisiana and Baldwin v. New York

2015· article· en· W2399915542 on OpenAlexaboutno aff
William T. Pizzi

Bibliographic record

VenueeYLS (Yale Law School) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsnot available
Fundersnot available
KeywordsLawPleaPolitical scienceMistakeJuryCriminal justiceCriminologySociology
DOInot available

Abstract

fetched live from OpenAlex

This article takes a look back at two of the major opinions of the criminal procedure revolution - Duncan v. Louisiana and Baldwin v. New York - and contends that, in retrospect, extending the right to jury trial to all felonies and misdemeanors was a mistake. Instead of protecting defendants from the power of the state, these decisions have had the opposite effect: criminal trials are increasingly rare and those defendants who dare to insist on their rights pay a substantial and sometimes brutal price if convicted. The article makes its case comparatively by taking a look at two other common law countries - England and Canada. Each has two trial courts and two trial models for most felonies and all misdemeanors. The two models are distinguished in such a way that it is usually to the strong advantage of both prosecutors and defendants to opt for the simpler nonjury trial model if possible. Prosecutors get a much shorter trial and defendants are assured a rather lenient sentence if they are convicted. This contrasts sharply with the United States where only one trial model is available and it is strongly to the prosecutor’s advantage to charge as high as ethically possible for plea-bargaining leverage. We often lament “the vanishing trial” in the United States. But Canada and England show there are options we could take to make more trials available for defendants without requiring additional resources. But, first, we must begin by reconsidering the wisdom of what the Court did in Duncan and Baldwin.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.603

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0230.017
Scholarly communication0.0160.007
Open science0.0030.006
Research integrity0.0130.023
Insufficient payload (model declined to judge)0.0150.001

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 head0.146
GPT teacher head0.380
Teacher spread0.234 · 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 designTheoretical or conceptual
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

Citations0
Published2015
Admission routes1
Has abstractyes

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