12 research outputs found
Mapping the self:Challenges of insider research in a riot-affected city and strategies to improve data quality
Circles of Peace. A Video Analysis of Situational Group Formation and Collective Third-Party Intervention in Violent Incidents
We seek to understand collective third-party intervention in violent incidents. Based on analyses of 131 video clips captured on mobile phones, we argue that bodily alignment between bystanders creates situational groups that encourage collective de-escalatory action. Qualitative analysis reveals that third parties generate situational groups when they create circular formations, providing greater opportunities to notice each other’s monitoring of the situation while separating those focused on the incident from others just passing by. Statistical analysis shows that the formation of situational groups facilitates the collectivization of de-escalatory action. In contrast to popular but outdated ideas about the dangerous influence of assemblies on individual behaviour (allegedly leading to disorder or apathy), our findings emphasize the self-regulatory, defusing capacity of gatherings
Mapping the self: challenges of insider research in a riot-affected city and strategies to improve data quality
Next-door Strangers: Explaining ‘Neighbourliness’ between Hindus and Muslims in a Riot-affected City
Hindu-Muslim violence in Gujarat, 2002: political logic, spatial configuration, and communal cooperation
This thesis uses a mixed methods approach to investigate the different levels of Hindu-Muslim violence in Gujarat (western India) in 2002 when at least a thousand Muslims were killed. An original dataset of killings is compiled to analyse macrospatial variation in the violence across towns and rural areas of Gujarat. Data collected from 21 months of ethnographic fieldwork in Ahmedabad city is used to investigate microspatial variation across three neighbourhoods with varying levels of violence.Macrospatial analysis discusses the link between political authority and its capacity to instigate ethnic violence as a response to electoral calculations and identifies the mechanisms by which violence against Muslims was orchestrated by the Hindu nationalist Bharatiya Janata Party (BJP). Ethnographic findings demonstrate the importance of ecological strategies adopted by attackers and targets during the course of attack and urge a re-examination of the intuitive association of spatial proximity with greater interethnic contact. Findings also reveal methods of enforcement used by legitimate and illegitimate institutions of a peaceful slum neighbourhood in resolving commitment problems of cooperation. Finally, the thesis examines the aftermath of the violence, more specifically a political phenomenon of Muslims of Gujarat supporting the BJP nine years after the brutal violence.Methodologically, the main contribution of this thesis is in bridging the quantitative and ethnographic traditions in the sociology of ethnic violence to make possible the linking, and disentangling, of macrolevel risk factors associated with violence from microlevel factors. Findings of the thesis hopefully provide a better understanding of ethnic violence in multi-ethnic democracies and a roadmap of policy-making for India as it continues to struggle with ethnic strife.</p
Mapping the self: Challenges of insider research in a riot-affected city and strategies to improve data quality
Ethnic riots in India rarely lead to convictions of perpetrators and redress for victims. By implication, antagonisms prevail years after violence has ceased and victims often find themselves sharing everyday spaces with their attackers. The task of identifying the risk factors leading to ethnic violence as well as the nuances of coexistence for individuals ridden with memories of violence and prejudice is rife with methodological and ethical challenges. Concerns surrounding data quality are enhanced when the researcher is also an insider. In a study spanning 26 months (undertaken between 2010 and 2015), I examine the challenges of an insider researcher in the context of Hindu–Muslim violence that occurred in Gujarat in 2002, and offer techniques to improve data quality. Strategies include the cross-verification of sources within official data; interviewing respondents in group and individual settings to address the attitudinal fallacy; and employing respondent-empowered cognitive maps. I argue that visual data, such as cognitive maps, enable a better understanding of abstract social concepts and also facilitate a balance between distance and involvement for the insider researcher
The political logic of ethnic violence: the anti-Muslim pogrom in Gujarat, 2002
Ethnic violence in Gujarat in 2002 killed at least a thousand Muslims. Compiling data from the Times of India, we investigate variation across 216 towns and rural areas. Analysis reveals the political logic of violence. Killing was less likely where the Hindu nationalist Bharatiya Janata Party (BJP) was weakest, but was even less likely where the BJP was strong; it was most likely where the party faced the greatest electoral competition. Underemployment and Muslim in-migration also increased violence. The political logic is confirmed by analysis of the subsequent election: the BJP’s vote increased most in districts with the worst violence. Police chiefs in districts where violence was severe were more likely to be promoted