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Record W6926801681 · doi:10.25549/webster-c100-11133

Justice Expenditure and Employment in the United States, 1988, 1991-08

2021· dataset· en· W6926801681 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2021
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionNewspaperEconomic JusticeCriminal justiceRoyal CommissionPublic expenditure

Abstract

fetched live from OpenAlex

A report issued by the United States Department of Justice's Bureau of Justice Statistics (BJS). The report presents public expenditure and employment data on civil and criminal justice activities in the United States during fiscal years 1971-1979, 1985, and 1988, 1991 August. PART OF SERIES: In its investigation, the Webster Commission aligned the policies and procedures of the LAPD with those adopted by several other agencies and governmental bodies. The series contains a variety of materials collected by the Commission for this purpose. Included are reports about present and future issues facing the City of Los Angeles; analyses of riots which shook Washington, D.C. in 1968; annual reports issued by the Royal Canadian Mounted Police; emergency plans; housing data; newspaper and journal articles; criminal justice statistics; and summaries and after-action reports which assessed law enforcement's response to the 1992 riots.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.207
Teacher spread0.186 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

Explore more

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