Historical crime and criminal justice classifications: Data and methodological considerations.
This article reports on a large-scale historical criminology project to create longitudinal datasets of Australian prosecutorial data. We reflect on the decade-long process of digitization, transcription, classification, and aggregation that transformed hundreds of thousands of handwritten manuscrip...
| Publicado en: | Historical Methods Vol. 59; no. 3; pp. 167 - 186 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Jul-Sep2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=195656600&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 195656600 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01615440 HMT jtl: Historical Methods issn: 01615440 maglogo: N pubinfo: dt: Jul-Sep2026 vid: 59 iid: 3 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 195656600 10.1080/01615440.2026.2649809 ppf: 167 ppct: 19 formats: tig: atl: Historical crime and criminal justice classifications: Data and methodological considerations. aug: au: Kaladelfos, Andy Finnane, Mark Piper, Alana Durnian, Lisa Smaal, Yorick Blewer, Robyn affil: Faculty of Law and Justice, University of New South Wales, Sydney, Australia School of Humanities, Languages and Social Science, Griffith University, Brisbane, Australia Griffith Criminology Institute, Griffith University, Brisbane, Australia Griffith Law School, Griffith University, Brisbane, Australia su: Digitization Crime statistics Reference sources Classification algorithms Research methodology Court records Criminology Panel analysis sug: subj: Digitization Crime statistics Reference sources Classification algorithms Research methodology Court records Criminology Panel analysis keyword: Australia big data criminal prosecution Historical criminology ab: This article reports on a large-scale historical criminology project to create longitudinal datasets of Australian prosecutorial data. We reflect on the decade-long process of digitization, transcription, classification, and aggregation that transformed hundreds of thousands of handwritten manuscript records into open-source, machine-readable data now readily available for analysis by researchers. Secondly, we explore the possibilities of developing historically relevant offense, verdict and sentence classification systems to analyze longitudinal data globally and offer comparisons to other available classification systems. We propose that this approach is a necessary next step to ensure we develop robust and replicable scholarship in historical criminology, but the development of such a framework needs to be highly attentive to issues of missing data and changing historical contexts. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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