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Record W2060934074 · doi:10.3138/cjccj.53.2.157

Changes in Scholarly Influence in Major International Criminology Journals, 1986–2005

2011· article· en· W2060934074 on OpenAlexvenueaboutno aff
Ellen G. Cohn

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsCriminologyCriminal justicePublishingSociologyHistoryLibrary scienceLawPolitical science

Abstract

fetched live from OpenAlex

Changes in scholarly influence in four major international criminology journals (CJC—Canadian Journal of Criminology and Criminal Justice; CRIM—Criminology; BJC—British Journal of Criminology; ANZ—Australian and New Zealand Journal of Criminology) were measured by determining the most-cited scholars in 2001–2005 and comparing them with the most-cited scholars in 1996–2000, 1991–1995, and 1986–1990. The number of cited authors increased by over 90% between 1986–1990 and 2001–2005. The most-cited scholars in 2001–2005 were Julian V. Roberts in CJC, Robert J. Sampson in CRIM, John Braithwaite in BJC, and Lawrence W. Sherman in ANZ. There was clear concordance between CJC and CRIM, and between BJC and ANZ, in the most-cited authors. The analyses reveal the increasing scholarly influence of some authors over this 20-year time period, the decreasing scholarly influence of others, and the continuing high influence of others. A list of the most-cited works of the most-cited authors showed that some scholars were specialized, with a large number of citations of one or two seminal works, usually books and often theoretical in nature. Other scholars were versatile: they had many different works cited a few times each.

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)0.004
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.205
GPT teacher head0.362
Teacher spread0.158 · 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 designObservational
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

Citations14
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicCrime Patterns and InterventionsFrench-language works237,207