scholarly journals Regression, Progression and Renewal: The Continuous Redevelopment of Expertise in Police Use of Force Coaching

Author(s):  
Mario S. Staller ◽  
Swen Körner

Abstract Professionalism in law enforcement requires the identification and development of expertise of police use of force (PUOF) coaches. Effective PUOF training includes the transfer from the training into the real-world environment of policing. This difference between working in the field and working as a PUOF coach has not been thoroughly investigated. However, research in other professional domains has shown that practical competence in the subject matter itself does not make a coach effective or successful. With this article, we conceptualize expert practice in PUOF instruction on the basis of a conflict management training setting in the security domain. First, by discussing a model of “territories of expertise”, we point out the dynamic and contextual character of expertise within the PUOF domain. Second, by conceptualizing expertise as a process and effect of communication, we provide a framework that describes and examines the interdependency between performance-based and reputation-based expertise. These considerations present two practical challenges, which we recommend professional law enforcement institutions to engage. We close by providing practical orientations and pointers for addressing these issues.

2021 ◽  
Vol 26 (2) ◽  
pp. 7-17
Author(s):  
Mario Staller ◽  
Swen Koerner

Police training and learning settings focusing on physical conflict management skills regularly comprise at least two parties: on the one side the individuals learning and developing their conflict management skills and on the other side the individuals in charge of planning and delivering the training sessions. While the first category refers to learners, the latter category is referred to, among others, as instructor, trainer, coach, sifu or professor, depending on contextual constraints. While it seems arbitrary to use different terms for describing the learner's counterpart in a learning setting, we argue for a sensible consideration of manifest and latent implications of how these individuals are referred to - and how they perceive their role. Drawing from autoethnographic data in various conflict management training settings, we identify functional, dysfunctional and irritating aspects of different terms used. By reflecting through the lenses of functionality from a systemic perspective, we aim at providing insights towards a more nuanced understanding of contextual constraints and reflexive use of these terms.


Author(s):  
Kai R. Larsen ◽  
Daniel S. Becker

After preparing your dataset, the business problem should be quite familiar, along with the subject matter and the content of the dataset. This section is about modeling data, using data to train algorithms to create models that can be used to predict future events or understand past events. The section shows where data modeling fits in the overall machine learning pipeline. Traditionally, we store real-world data in one or more databases or files. This data is extracted, and features and a target (T) are created and submitted to the “Model Data” stage (the topic of this section). Following the completion of this stage, the model produced is examined (Section V) and placed into production. With the model in the production system, present data generated from the real-world environment is inputted into the system. In the example case of a diabetes patient, we enter a new patient’s information electronic health record into the system, and a database lookup retrieves additional data for feature creation.


1997 ◽  
Vol 2 (3) ◽  
pp. 437-450 ◽  
Author(s):  

AbstractIn the past several years, the profession of conflict and change management has emerged in former communist countries. Three different types of conflict have surfaced: those long suppressed or fostered by the repressive arm of the communist state; those that emerged as part of the transition process from one political and economic order to the present one; and, those that are inherent to democracy and market economies. This article focuses on the management of these conflicts and the incorporation of conflict management methodologies as a factor in building democratic institutions with examples from Partners for Democratic Change's National Center in Hungary.


2021 ◽  
Vol 5 (1) ◽  
pp. e001088
Author(s):  
Oscar Lyons ◽  
Liz Forbat ◽  
Esse Menson ◽  
Julia C Chisholm ◽  
Kate Pryde ◽  
...  

ObjectiveTo implement and evaluate the use of the conflict management framework (CMF) in four tertiary UK paediatric services.DesignMixed methods multisite evaluation including prospective pre and post intervention collection of conflict data alongside semistructured interviews.SettingEight inpatient or day care wards across four tertiary UK paediatric services.InterventionsThe two-stage CMF was used in daily huddles to prompt the recognition and management of conflict.ResultsConflicts were recorded for a total of 67 weeks before and 141 weeks after implementation of the CMF across the four sites. 1000 episodes of conflict involving 324 patients/families across the four sites were recorded. After implementation of the CMF, time spent managing episodes of conflict around the care of a patient was decreased by 24% (p<0.001) (from 73 min to 55 min) and the estimated cost of this staff time decreased by 20% (p<0.02) (from £26 to £21 sterling per episode of conflict). This reduction occurred despite conflict episodes after implementation of the CMF having similar severity to those before implementation. Semistructured interviews highlighted the importance of broad multidisciplinary leadership and training to embed a culture of proactive and collaborative conflict management.ConclusionsThe CMF offers an effective adjunct to conflict management training, reducing time spent managing conflict and the associated staff costs.


Author(s):  
Massimo Tistarelli ◽  
Stan Z. Li

The analysis of face images has been extensively applied for the recognition of individuals in several application domains. Most notably, faces not only convey information about the identity of the subject, but also a number of ancillary information, which may be equally useful to anonymously determine the characteristics of an individual. Even though the first applications of face recognition have been related to security and access control, nowadays the analysis of human faces is related to several applications including law enforcement, man-machine interaction, and robotics, just to mention a few. This chapter explores the analysis of face images.


2018 ◽  
Vol 35 (4) ◽  
pp. 393-402 ◽  
Author(s):  
Nan Cochran ◽  
Paul Charlton ◽  
Virginia Reed ◽  
Peter Thurber ◽  
Elliott Fisher

1993 ◽  
Vol 61 (1) ◽  
pp. 70-77 ◽  
Author(s):  
Howard J. Markman ◽  
Mari Jo Renick ◽  
Frank J. Floyd ◽  
Scott M. Stanley ◽  
Mari Clements

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