Remarks on Violence and Intersubjectivity

Roehl, Tobias; Kalthoff, Herbert

doi:10.1007/s10746-013-9257-1

Cited by 1 publication

(4 citation statements)

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“…Many studies assume that violence takes the form of a sudden “outbreak” or “outburst” of uncontrollable emotions (Ciocan, 2020 : 199, 202–204; Collins, 2008 : 83ff. ; Roehl & Kalthoff, 2013 : 112). It is true that violence emerges rapidly, but that does not mean it comes sudden, nor that the behavior of individuals is entirely shaped by their emotions.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…First, we consider similar violent incidents in public urban spaces as analyzed by Whitehead et al ( 2018 ), but instead of focusing on how antagonists use “risk factors” as interactional resources, we study the entire interactional process as captured on the recording. Second, our analysis considers not only verbal utterances but also bodily modes of communication because our interest is in interpersonal violence as bodily action rather than in depersonalized forms of violence, as in the notions of structural and symbolic violence (Roehl & Kalthoff, 2013 : 112). Third, our study is methodologically informed by Lloyd’s ( 2017 ) visual analysis of an incident between two mountain bikers.…”

Section: Introductionmentioning

confidence: 99%

“…Ethnomethodological and conversation analytic studies (Elsey et al, 2018;Lloyd, 2017;Watson & Meehan, 2021;Whitehead et al, 2018) deployed refined situational analyses to produce insights into the situational contingencies and unfolding of violent encounters. Finally, recent phenomenological studies have inquired the lived experience of interpersonal violence, focusing on issues of intersubjectivity, embodiment and affective dimensions (Ciocan, 2019;Roehl & Kalthoff, 2013;Staudigl, 2007Staudigl, , 2013; for a similar position from a different approach Lindemann, 2015). 1 Our contribution aims to advance these situationalist perspectives both theoretically and methodologically by considering interpersonal violence as a communicative process, a trajectory in which the antagonists use each other's' bodily movements, gestures, gazes, and verbal utterances to move the interaction toward (and away from) a physical confrontation.…”

Section: Introductionmentioning

confidence: 99%

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How to Start a Fight: A Qualitative Video Analysis of the Trajectories Toward Violence Based on Phone-Camera Recorded Fights

2022

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We aim to contribute to recent situational approaches to the study of interpersonal violence by elaborating the concept of trajectories. Trajectories are communicative processes in which antagonists act upon each other’s bodily and verbal actions to project a direction for the interaction to take, which is then (con) tested in the exchanges that follow. We use the notion of trajectories to gain insight in how participants turn an antagonistic situation into a violent encounter, which we contrast to interactionist and micro-sociological understandings. Using ethnomethodological and conversation analytical tools, we detail the trajectories of three violent encounters, captured on phone camera recordings to answer the question how verbal and bodily exchanges project physical violence. Methodologically, our contribution shows how bodily actions can be studied in visual data. Our cases show how antagonists move the interaction toward violence by creating a metaconflict revolving around the conditions under which the interaction will become a physical confrontation; what we call the contested projection of violence. We conclude that the concept of trajectories offers a useful analytical tool to detail the shifts and turns of the interactive process—notably it’s bodily dimensions— that characterize antagonism and violence. Substantially, our analysis raises questions about conceptualizations of the emotional dynamics (notably the role of dominance) of violence, as proposed by earlier micro-sociological and interactionist work. We therefore suggest that future studies engage with these issues in more detail and in larger datasets.

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Section: Discussionmentioning

confidence: 99%