Geotagged photos: a useful tool for criminological research?

Lemieux, Andrew

doi:10.1186/s40163-015-0017-6

Cited by 13 publications

(9 citation statements)

References 29 publications

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“…The sequence of nodes is determined by the original arrangement in the source text. For example, the follow passage from Lemieux (2015) has been tagged in our SpringerOpen excavation in the following manner: The citation tags would results in the following edge relationships between the sentences: [(0-1), (1-0), (0-1)]. Because the tags are proceeding in one direction, we could also represent the preceding list of edges as a path that connects 0-1-0-1.…”

Section: Analytic Pass 2: Seeing Citations As Important Structures Inmentioning

confidence: 99%

Finding genre signals in academic writing

Omizo¹,

Hart-Davidson²

2016

Journal of Writing Research

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Abstract1. The Challenges of Learning "Always Custom" Academic Genres Pare' (2015) calls our attention to a seemingly paradoxical quality of genres of academic writing that, when we pause to consider it, accounts for the challenge many of us feel as novice writers. Certain types of texts, at a broad level, and more importantly the opportunities to produce these certain types of texts, recur. Drawing upon rhetorical genre theory (RGT), however, Pare notes that repetition and the expectation that there will be stable textual patterns that arise from repetition is disrupted by another phenomenon: the "always custom" nature of any one instance of an academic genre. Citing Bakhtin, Pare explains that while the instances in which certain texts arise and recur may be relatively stable, the specific circumstances, not to mention the creativity of individual writers, allow and sometimes demand that each text varies from any other. First paragraph text is not indented. RGT prepares us for this "always custom" nature of genres by implying some distance between the genre -a term usually used by rhetorical genre theorists to signify the recurring social actions from which textual regularities arise -and a genre instance, or a single text that emerges from the distinctive social exigencies associated with a particular genre. But this very distance -the variability of any given instance of a genre from any other instance -poses challenges for learners and teachers, advisors and advisees. Learning to write in a new genre is more than just getting the words right. It is getting the rhetorical moves associated with the genre right. And that means the words can sometimes vary quite a lot! Pare sums up the nature of the challenge succinctly with a conjecture: "Perhaps the most important lesson of RGT is that the repeated texts we assign or investigate are merely the centre of much larger patterns of typified action" (A-91). Following Pare, we would extend the reading of Bakhtin's conception of textual conventions as being part of, and indeed constitutive of, social relations by pointing out that where there are repetitions at a textual level, these can be understood as signals shared by author and reader about the social activity -the genre -they are co-negotiating. The repeated text may include large passages or just a handful of words. But it is not the mere repetition of the words, themselves, that is significant. If we look at two texts by the same writer, we might see her substitute many words and still be recognized as producing, in both cases, a recognizable (but custom) instance of the genre.Given this range of variation, for learners, identifying the "genre signals" associated with a type of text and bringing them into alignment to produce an instance of a genre can, understandably be quite challenging. And as Diaz, et. al. (1999) have reported, as teachers, we may make things more challenging if the kinds of situations and the types of texts we solicit from students do not approach the range of variation expected in the...

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Section: Analytic Pass 2: Seeing Citations As Important Structures Inmentioning

confidence: 99%

Finding genre signals in academic writing

Omizo¹,

Hart-Davidson²

2016

Journal of Writing Research

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“…The photographs are then mapped and analysed using open source GIS software by a trained crime analyst. Reports are then developed for tactical and strategic decision-making (see Lemieux 2015). What is unique about the WILD LEO project is that it also utilises an offender database with GPS-tagged photographs acting as supporting evidence for the UWA's prosecution.…”

Section: The Status Of Crime and Intelligence Analysis Within The Uwamentioning

confidence: 99%

Introducing intelligence-led conservation: bridging crime and conservation science

Moreto

2015

Crime Sci

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The multidisciplinary nature of conservation science lends itself to be a unique area of study for those interested in crime science. In particular, crime scientists can contribute to the development, implementation, and evaluation of crime and intelligence analysis that address wildlife crime. Crime and intelligence analysis has gained significant attention from conservationists in recent years due to the increasing accessibility and capabilities of various forms of information technology. This has led to significant gains in the ability to collect and analyse information resulting in the push for intelligence-led approaches to guide wildlife law enforcement. Based on a process evaluation of the Uganda Wildlife Authority's intelligence strategy, this paper contributes to the literature by introducing an intelligence-led conservation framework, as well as an operational model referred to as the Ranger Analytic Intelligence Network specifically tailored for conservation efforts in Uganda. Several important caveats that warrant consideration prior to and during the development of an intelligence-led conservation approach are also presented. Lastly, implications for policy are discussed.

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“…Multi- and cross-disciplinary approaches to the prevention, detection, and control of wildlife trafficking (but not focusing specifically on plants) are yielding promising results, as they bring together diverse expertise to address the complex challenges associated with the preservation of natural resources (Alacs et al, 2010; Cowan et al, 2006; Gibbs et al, 2010; Haas & Ferreira, 2015; Lemieux, 2015; Staats et al, 2016). When it comes to the detection of illegal wildlife trade online, there have been some recent multi- and cross-disciplinary efforts bringing together conservation science and sustainability science expertise with web/computer science or social science methodological approaches.…”

Section: Introductionmentioning

confidence: 99%

FloraGuard: Tackling the Online Illegal Trade in Endangered Plants Through a Cross-Disciplinary ICT-Enabled Methodology

Lavorgna

Middleton²,

Pickering³

et al. 2020

Journal of Contemporary Criminal Justice

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This article presents a part of the ongoing Economic and Social Research Council (ESRC)-funded project “FloraGuard: Tackling the illegal trade in endangered plants” that relies on cross-disciplinary approaches to analyze online marketplaces for the illegal trade in endangered plants, and explores strategies to develop digital resources to assist law enforcement in countering and disrupting this criminal market. This contribution focuses on how the project brought together computer science, criminology, conservation science, and law enforcement expertise to create a tool for the automatic gathering of relevant online information to be used for research, intelligence, and investigative purposes. The article also discusses the ethical standards applied and proposes the concept of “artificial intelligence (AI) review” to provide a sociotechnical solution that builds trustworthiness in the AI approaches used for this type of cross-disciplinary information and communications technology (ICT)-enabled methodology.

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Geotagged photos: a useful tool for criminological research?

Cited by 13 publications

References 29 publications

Finding genre signals in academic writing

Finding genre signals in academic writing

Introducing intelligence-led conservation: bridging crime and conservation science

FloraGuard: Tackling the Online Illegal Trade in Endangered Plants Through a Cross-Disciplinary ICT-Enabled Methodology

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