MétaCan
Menu
Back to cohort
Record W4403114947 · doi:10.1080/10511253.2024.2406493

“A Content Analysis of the Academy of Criminal Justice Sciences’ Presidential Address, 1993-2022: A Qualitative Exploration”

2024· article· en· W4403114947 on OpenAlexafffund
Phillip Shon

Bibliographic record

VenueJournal of Criminal Justice Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsOntario Tech University
FundersUniversity of Ontario Institute of Technology
KeywordsCriminal justiceCriminologyPresidential addressContent analysisPresidential systemPolitical scienceQualitative analysisCriminal investigationQualitative researchSociologyLawSocial sciencePublic administration

Abstract

fetched live from OpenAlex

Prominent sociologists and criminologists have not accorded the respect that criminology and criminal justice (CCJ) deserves. They have questioned CCJ’s standing as an autonomous discipline; they have criticized CCJ for its lack of a “common conceptual language,” a “core theoretical tradition,” and a “methodological commitment.” Consequently, criminologists and criminal justice scholars have been warned not to stray too far from their sociological roots. This condition leads to the following question: are there new ideas about crime and justice that are contained in the annual addresses of ACJS presidents? This article examines the addresses delivered by the presidents of ACJS. The findings indicate that three key domains of reflections can be discerned in the ACJS presidential addresses: (1) legitimacy through accreditation; (2) policy irrelevance as a prelude to public criminology; and (3) visions of justice. The three findings are compared and contrasted with the core themes found in a prior study of ASC presidential addresses.

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)0.007
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.359
GPT teacher head0.510
Teacher spread0.150 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Criminal Justice EducationSame topicContemporary Sociological Theory and PracticeFrench-language works237,207