Challenges to Data Collection: Digital Divide Causing Double Marginalization of the Bagri Community in Sindh, Pakistan

Ameer Ali, Maya Khemlani David
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Abstract

In the wake of the Covid-19 pandemic, we conducted qualitative research on the Bagri community in Pakistan’s Sindh province. The Bagri community is considered an indigenous community in Pakistan’s Sindh and Punjab provinces. They also live in some states in India. The community has been referred to as ‘scheduled caste’ in Pakistan’s constitution. They speak Bagri language and practice Hinduism. Unfortunately, some Hindus and Muslims discriminate against the Bagri community and give them a wide berth and the community is seen as untouchable (Shah, 2007). Due to lockdowns caused by Covid 19, it has become difficult to access members of the community in order to collect data. Many of the members of the community have no digital literacy and the few who had mobile phones were contacted through mobile phone, but unfortunately voice quality of the interviews was not good and there was either network or noisy interruptions which made it difficult to understand what the interviewee was saying. Given this difficult situation, we used the strategy of using a friend of a friend to conduct the interviews on our behalf. However, even this solution faced challenges as the community was perceived as untouchable. In this way, the Bagri community was not only socially but also digitally marginalized. Therefore, this qualitative research will explore the digital and social challenges coresearchers faced during data collection, and we discuss how these challenges, were to some extent, surmounted.
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数据收集的挑战:数字鸿沟导致巴基斯坦信德省巴格里社区的双重边缘化
新冠肺炎疫情发生后,我们对巴基斯坦信德省巴格里社区进行了定性研究。巴格里社区被认为是巴基斯坦信德省和旁遮普省的一个土著社区。他们也生活在印度的一些邦。在巴基斯坦宪法中,该社区被称为“预定种姓”。他们说巴格里语,信奉印度教。不幸的是,一些印度教徒和穆斯林歧视巴格里社区,对他们敬而远之,该社区被视为贱民(Shah, 2007)。由于新冠肺炎疫情导致的封锁,很难接触到社区成员以收集数据。许多社区成员没有数字知识,少数有移动电话的人通过移动电话联系,但不幸的是,采访的语音质量不好,网络或嘈杂的干扰使得很难理解受访者所说的话。鉴于这种困难的情况,我们采用了让朋友的朋友代表我们进行采访的策略。然而,即使这个解决方案也面临着挑战,因为社区被认为是不可触及的。这样一来,巴格里社区不仅在社会上,而且在数字上被边缘化。因此,本定性研究将探讨共同研究人员在数据收集过程中面临的数字和社会挑战,并讨论如何在一定程度上克服这些挑战。
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