Papers by Eva Maria Martika
The Routledge Handbook of English Language and Digital Humanities
In ordinary Greek conversation, speakers will frequently agree with an assessment using an agreem... more In ordinary Greek conversation, speakers will frequently agree with an assessment using an agreement token and the particle 1 re (i.e., ne re). Given that the absence of re from these responses would not have any semantic or syntactic implications, we explore the interactional function of re in such responses. Based on the methodological premises of Conversation Analysis, this study shows that responding with ne re, the speaker manages multiple functions within one turn constructional unit. That is, while agreeing with the assessment, the speaker marks the assessment as already known. The speaker thus underscores that this assessment breaches epistemic responsibilities and rights. At the same time, s/he expresses an independent stance and, consequently, epistemic primacy (Heritage and Raymond, 2005) in relation to the assessable. Περίληψη Συχνά στον καθημερινό λόγο, οι ομιλητές συμφωνούν με μια αξιολόγηση χρησιμοποιώντας ένα καταφατικό μόριο και το μόριο 2 ρε (δηλαδή, ναι ρε). Δεδομένου ότι υπάρχει και ο εναλλακτικός τρόπος απάντησης αποτελούμενης από σκέτο ναι, χωρίς σημασιολογικές ή συντακτικές επιπτώσεις για τις απαντήσεις αυτές, εύλογα γεννάται ερώτημα για τις διεπιδραστικές λειτουργίες του ρε σε αυτό το περιβάλλον. Βασισμένη στις μεθοδολογικές αρχές της Ανάλυσης της Συνομιλίας, η παρούσα έρευνα δείχνει ότι απαντώντας με το ναι ρε, ο ομιλητής κατορθώνει πολλαπλές διεπιδραστικές λειτουργίες σε μια μονάδα κατασκευής συνεισφοράς. Δηλαδή, ενώ συμφωνεί με μια αξιολόγηση, σημαδεύει το πρόδηλο του περιεχομένου της αξιολόγησης αυτής. Έτσι, επισημαίνει στον συνομιλητή του την παραβίαση επιστημικών δικαιωμάτων και υποχρεώσεων. Ταυτόχρονα εκφράζει μια ανεξάρτητη στάση και, συνεπώς, μια επιστημική ανωτερότητα (epistemic primacy, Heritage και Raymond, 2005) σε σχέση με το αντικείμενο αξιολόγησης.
Books by Eva Maria Martika
Introduction:
Conversation analysis is an approach to the study of social interaction which iden... more Introduction:
Conversation analysis is an approach to the study of social interaction which identifies and describes the stable practices of interaction and the encompassing organisations in which they are embedded. Its fundamental assumption is that naturally occurring talk is characterised by 'order at all points' (Sacks 1984), and this social order is to be found in the details of interac-tional events through detailed structural analysis of audio and video recordings of naturally occurring talk. Even though conversation analysis emerged within the field of sociology, it has predominantly focused on linguistic forms as a repertoire of practices for designing, organising, projecting and making sense of the trajectories and import of turns-at-talk. With its focus on linguistic objects as resources for constructing actions and sequences of actions in talk, the conversation analytic research enables us to understand some of the shaping factors of linguistic structures and patterns (grammar being the most researched). The rapid development of digital technologies in the last two decades has implicated conversation analytic research in three possible ways: the digitisation of conversation analytic methods, the application of conversation analysis to text-based online interactions and the automation of conversation analysis. The goal of this chapter is to contribute to a growing body of literature in the digital humanities by addressing all the above three implications. While many definitions of the digital humanities 'as smart and provocative as they are, often muddy the introductory waters more than clarify them', and most definitions reduce the digital humanities to the 'application of technologies to humanities work' Gibbs (2013: 289), this chapter is in accordance with definitions that emphasize 'studying the effects of the digital' on human cultures as much as 'using the digital' to study human cultures (Gibbs 2013: 290-294). The chapter is thus structured as follows: after a brief description of the foundational principles, basic methods and theoretical concepts of conversation analysis, we discuss the digitisation of conversation analytic research methods. We argue that while in adapting to the digital turn, conversation analysis retains its core methods for analysing interaction, digital technologies have enabled conversation analysts to better (and sometimes faster) answer long-standing questions and to pose innovative research questions that were difficult or even impossible to address without the use of digital means (e.g. searching for universal patterns in social interaction). Subsequently, we discuss conversation analytic studies of text-based online interactions, and we Conversation analysis 243 report on some of the concerns and questions that conversation analysts have raised about the suitability of applying conversation analysis-a method developed for analysing face-to-face or telephone interaction-to text-based forms of talk on social media. We conclude this chapter by pointing out possible future directions in the field of conversation analysis such as, the expansion of the analytical work on embodied language and the automation of conversation analysis.
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Papers by Eva Maria Martika
Books by Eva Maria Martika
Conversation analysis is an approach to the study of social interaction which identifies and describes the stable practices of interaction and the encompassing organisations in which they are embedded. Its fundamental assumption is that naturally occurring talk is characterised by 'order at all points' (Sacks 1984), and this social order is to be found in the details of interac-tional events through detailed structural analysis of audio and video recordings of naturally occurring talk. Even though conversation analysis emerged within the field of sociology, it has predominantly focused on linguistic forms as a repertoire of practices for designing, organising, projecting and making sense of the trajectories and import of turns-at-talk. With its focus on linguistic objects as resources for constructing actions and sequences of actions in talk, the conversation analytic research enables us to understand some of the shaping factors of linguistic structures and patterns (grammar being the most researched). The rapid development of digital technologies in the last two decades has implicated conversation analytic research in three possible ways: the digitisation of conversation analytic methods, the application of conversation analysis to text-based online interactions and the automation of conversation analysis. The goal of this chapter is to contribute to a growing body of literature in the digital humanities by addressing all the above three implications. While many definitions of the digital humanities 'as smart and provocative as they are, often muddy the introductory waters more than clarify them', and most definitions reduce the digital humanities to the 'application of technologies to humanities work' Gibbs (2013: 289), this chapter is in accordance with definitions that emphasize 'studying the effects of the digital' on human cultures as much as 'using the digital' to study human cultures (Gibbs 2013: 290-294). The chapter is thus structured as follows: after a brief description of the foundational principles, basic methods and theoretical concepts of conversation analysis, we discuss the digitisation of conversation analytic research methods. We argue that while in adapting to the digital turn, conversation analysis retains its core methods for analysing interaction, digital technologies have enabled conversation analysts to better (and sometimes faster) answer long-standing questions and to pose innovative research questions that were difficult or even impossible to address without the use of digital means (e.g. searching for universal patterns in social interaction). Subsequently, we discuss conversation analytic studies of text-based online interactions, and we Conversation analysis 243 report on some of the concerns and questions that conversation analysts have raised about the suitability of applying conversation analysis-a method developed for analysing face-to-face or telephone interaction-to text-based forms of talk on social media. We conclude this chapter by pointing out possible future directions in the field of conversation analysis such as, the expansion of the analytical work on embodied language and the automation of conversation analysis.
Conversation analysis is an approach to the study of social interaction which identifies and describes the stable practices of interaction and the encompassing organisations in which they are embedded. Its fundamental assumption is that naturally occurring talk is characterised by 'order at all points' (Sacks 1984), and this social order is to be found in the details of interac-tional events through detailed structural analysis of audio and video recordings of naturally occurring talk. Even though conversation analysis emerged within the field of sociology, it has predominantly focused on linguistic forms as a repertoire of practices for designing, organising, projecting and making sense of the trajectories and import of turns-at-talk. With its focus on linguistic objects as resources for constructing actions and sequences of actions in talk, the conversation analytic research enables us to understand some of the shaping factors of linguistic structures and patterns (grammar being the most researched). The rapid development of digital technologies in the last two decades has implicated conversation analytic research in three possible ways: the digitisation of conversation analytic methods, the application of conversation analysis to text-based online interactions and the automation of conversation analysis. The goal of this chapter is to contribute to a growing body of literature in the digital humanities by addressing all the above three implications. While many definitions of the digital humanities 'as smart and provocative as they are, often muddy the introductory waters more than clarify them', and most definitions reduce the digital humanities to the 'application of technologies to humanities work' Gibbs (2013: 289), this chapter is in accordance with definitions that emphasize 'studying the effects of the digital' on human cultures as much as 'using the digital' to study human cultures (Gibbs 2013: 290-294). The chapter is thus structured as follows: after a brief description of the foundational principles, basic methods and theoretical concepts of conversation analysis, we discuss the digitisation of conversation analytic research methods. We argue that while in adapting to the digital turn, conversation analysis retains its core methods for analysing interaction, digital technologies have enabled conversation analysts to better (and sometimes faster) answer long-standing questions and to pose innovative research questions that were difficult or even impossible to address without the use of digital means (e.g. searching for universal patterns in social interaction). Subsequently, we discuss conversation analytic studies of text-based online interactions, and we Conversation analysis 243 report on some of the concerns and questions that conversation analysts have raised about the suitability of applying conversation analysis-a method developed for analysing face-to-face or telephone interaction-to text-based forms of talk on social media. We conclude this chapter by pointing out possible future directions in the field of conversation analysis such as, the expansion of the analytical work on embodied language and the automation of conversation analysis.