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Drug Courts

2019· reference-entry· en· W4246764653 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueCriminology · 2019
Typereference-entry
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsDrug courtAdjudicationAdversarial systemLawPolitical scienceCriminal justicePleaDecriminalizationCriminologyPsychology

Abstract

fetched live from OpenAlex

Several thousand drug courts operate in jurisdictions throughout the United States. Similar courts have been established in Canada, Australia, the United Kingdom, and elsewhere. The first drug court appeared in Dade County, Florida, in 1989. This initial effort and other first-generation drug courts helped to establish a model for subsequent problem-solving courts focused on substance use disorders, mental illness, domestic violence, and other circumstances that frequently co-occur with criminal justice system involvement. A range of problem-solving courts—including mental health courts, DUI (driving under the influence) courts, veterans courts, prostitution courts, re-entry courts, and gambling courts—have been developed both in the United States and internationally based on the drug court model. The design of these specialty courts emphasizes collaboration rather than an adversarial due-process-based approach to decision-making, therapeutic interventions instead of the legal resolution of disputed cases, and informal, individualized engagement by judges and other court actors. Key features of the drug court model include the placement of defendants in treatment programs, the close judicial monitoring of defendants though periodic status hearings, and the use of criminal penalties as leverage to retain defendants in treatment. Some drug courts engage criminal defendants prior to the adjudication of their charges, but increasingly these courts operate post-plea with the imposition of program requirements as conditions of probation or a suspended sentence. Drug courts have been a politically popular response to the problems of over-incarceration and criminal system overload produced in part by the late-20th-century “war on drugs.” Outcome studies often report successes in reducing drug use and criminal recidivism. Significant critiques of the drug court model and of problem-solving courts more generally have been offered, however, raising questions about the reliability of the outcome studies and about other negative consequences of the model, including net-widening, debasement of the therapeutic intentions of the enterprise, and other distortions in both the behavioral health treatment system and the criminal justice system.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.201
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.104
GPT teacher head0.321
Teacher spread0.217 · 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