Official script

Abstract: Peter Robinson’s abiding interests in language, the categorization of persons, and the use and abuse of truth motivate this study of interviewer practice. Using data from a psychological assessment interview, the author makes the argument that when interviewers edit scripts, they do so in ways that make plain their understandings of their respondent, and so demonstrate (and perhaps construct) a certain image of the individual in front of them. When there is a mismatch between the demands of the official script and the perceived situation of the respondent, this may result in the person being constructed as a social incompetent.

Abstract: Vietnamese anthropology has been portrayed as a project in close alignment with the goals of a progressivist, culturally assimilationist and security-oriented state. This paper explores unexpectedly positive assessments by anthropologists and folklorists of a recent popular upsurge in goddess worship, which many local scholars deem an example of local, time-honoured and integrative cultural practice. Such assessments may be viewed in the context of state attempts to strengthen national identifications as a counterbalance to its policies of economic liberalisation and integration with the capitalist world. Yet there is more to these interpretations than a story of intellectuals following an official script. In particular, we can factor in the effects upon these commentators themselves of rapid social and cultural change, particularly in urban areas where the majority of them are based. The paper argues for the need to move beyond a view of the Vietnamese state as the only or most critical factor in the shaping of local intellectual responses to popular practice.

Abstract: Deep learning-based methods such as convolutional neural networks are extensively used for various pattern recognition tasks. To successfully carry out these tasks, a large amount of training data is required. The scarcity of a large number of handwritten images is a major problem in handwritten character recognition; this problem can be tackled using data augmentation techniques. In this paper, we have proposed a convolutional neural network-based character recognition method for MODI script in which the data set is subjected to augmentation. The MODI script was an official script used to write Marathi, until 1950, the script is no more used as an official script. The preparation of a large number of handwritten characters is a tedious and time-consuming task. Data augmentation is very useful in such situations. Our study uses different types of augmentation techniques, such as on-the-fly (real-time) augmentation and off-line method (data set expansion method or traditional method). A performance comparison between these methods is also performed.