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Record W7095753386

Case Management Evaluation of Los Angeles County Criminal Courts Project Consultant Research Associate Margaret S. Elliott

2007· article· en· W7095753386 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicArtificial Intelligence in Law
Canadian institutionsnot available
Fundersnot available
KeywordsCriminal justiceWork (physics)Quarter (Canadian coin)Case managementTask (project management)Economic JusticeState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

This report documents the work completed for the Case Management Evaluation study, funded by the State Justice Institute under the technical assistance grant SJI-98-T-007. The purpose of the study was to evaluate the impact of case management technology on the work of the criminal justice system in Los Angeles County Superior Court. Two interagency databases were evaluated: the Trial Court Information System (TCIS) and the Prosecutor's Information Management System (PIMS). See (Elliott, 1998a; Elliott, 1998b; Elliott and King, 1999, King and Elliott, 1998a; King and Elliott, 1998b; King and Elliott, 1999) for detailed reports on the first, second and third quarters of this project. In this report, we present the study background, a project overview, research objectives, research questions, research methods, a task summary of the entire project, findings for the entire project, conclusions, and recommendations. Appendix A describes the task summaries for the final quarter and close-out period

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)0.035
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.697
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.347
GPT teacher head0.520
Teacher spread0.173 · 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 teacher head, not a consensus.

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
Published2007
Admission routes1
Has abstractyes

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