MétaCan
Menu
Back to cohort
Record W2045986491 · doi:10.1080/10511253.2013.841971

The Use of Scientific Inscriptions in Criminology and Criminal Justice Journals: An Analysis of Publication Trends between 1985 and 2009

2013· article· en· W2045986491 on OpenAlexfundno aff
Claire Goggin, Lisa A. Best

Bibliographic record

VenueJournal of Criminal Justice Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
FundersSt. Thomas University
KeywordsCriminal justiceHierarchyCriminologySociologySocial sciencePeriod (music)Presentation (obstetrics)Economic JusticeLawPolitical scienceMedicineArt

Abstract

fetched live from OpenAlex

The hierarchy of sciences distinguishes social sciences as "softer" than natural sciences as the latter place more emphasis on non-inferential strategies (i.e. scientific inscriptions). As a social science, criminology and criminal justice (CCJ) has struggled to integrate its analytical and experimental constituencies, hindering its research record. One solution is to embrace inscription techniques that "hard" sciences use to cumulate knowledge. The use of scientific inscriptions in 397 randomly selected articles published between 1985 and 2009 in 16 CCJ journals was compared with that of other scientific disciplines. Less than 10% of page space was devoted to data presentation (i.e. graphs plus tables) with no evidence of variation across the 25-year study period. Relative to other sciences, inscription usage in CCJ journals fell between psychology and sociology. Researchers are advised that the inclusion of inscriptions may aid in the transfer of experimental results to applied settings.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.255
GPT teacher head0.441
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.

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

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Criminal Justice EducationSame topicCrime Patterns and InterventionsFrench-language works237,207