scholarly journals Analyzing the researcher-participant in EMCA

Author(s):  
Emily Hofstetter

Conversation analysis strives to use naturalistic data in its research, but the definition of “natural” is often unclear (Speer, 2002) and can be at odds with both ethnomethodological understandings of data (Lynch, 2002) and practices of data collection (e.g., Stevanovic et al., 2017; Goodwin, 2018). In this paper, I reconsider the concept of naturalness with respect to a particular data collection practice: When the researcher themselves is a participant in the recorded data. I argue that analysis may be guided by how the researcher-participant is treated by others in the data, and that researchers may be considered as any other participant if treated as making activity-adequate (rather than research-adequate) contributions. Furthermore, researcher presence can demonstrate unique adequacy and provides opportunities to experiment with situated practices that otherwise are atypical or hard to access. This version of “natural” respecifies naturalness as a members’ concern in recorded interaction.

Author(s):  
Andrew LaBonte ◽  
Jon Hindmarsh ◽  
Dirk Vom Lehn

Coordination, communication and practice in a range of extreme and highly specialised work settings rest upon orientations to sensory resources. For researchers to collect interactional data and to make sense of the embodied conduct of participants in these settings, we therefore argue that particular forms of researcher competence are critical. While the importance of a researcher’s competence in a setting has been widely discussed in ethnomethodology and conversation analysis, the types of embodied competence required to study these settings demand further consideration. Here we spotlight ways in which various types of setting-specific participation and embodied competence have informed (i) our data collection strategies and (ii) our abilities to make sense of the recorded data in a study of rope access work, otherwise known as industrial climbing.


2000 ◽  
Vol 29 (4) ◽  
pp. 477-517 ◽  
Author(s):  
MARGRET SELTING

The notion of Turn-Constructional Unit (TCU) in Conversation Analysis has become unclear for many researchers. The underlying problems inherent in the definition of this notion are here identified, and a possible solution is suggested. This amounts to separating more clearly the notions of TCU and Transition Relevance Place (TRP). In this view, the TCU is defined as the smallest interactionally relevant complete linguistic unit, in a given context, that is constructed with syntactic and prosodic resources within their semantic, pragmatic, activity-type-specific, and sequential conversational context. It ends in a TRP unless particular linguistic and interactional resources are used to project and postpone the TRP to the end of a larger multi-unit turn. This suggestion tries to spell out some of the assumptions that the seminal work in CA made in principle, but never formulated explicitly.


Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.


Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 214 ◽  
Author(s):  
Itzik Klein

One of the approaches for indoor positioning using smartphones is pedestrian dead reckoning. There, the user step length is estimated using empirical or biomechanical formulas. Such calculation was shown to be very sensitive to the smartphone location on the user. In addition, knowledge of the smartphone location can also help for direct step-length estimation and heading determination. In a wider point of view, smartphone location recognition is part of human activity recognition employed in many fields and applications, such as health monitoring. In this paper, we propose to use deep learning approaches to classify the smartphone location on the user, while walking, and require robustness in terms of the ability to cope with recordings that differ (in sampling rate, user dynamics, sensor type, and more) from those available in the train dataset. The contributions of the paper are: (1) Definition of the smartphone location recognition framework using accelerometers, gyroscopes, and deep learning; (2) examine the proposed approach on 107 people and 31 h of recorded data obtained from eight different datasets; and (3) enhanced algorithms for using only accelerometers for the classification process. The experimental results show that the smartphone location can be classified with high accuracy using only the smartphone’s accelerometers.


This chapter begins with a definition of authorship and provides the The Proposed Rapid Review Checklist for Authors (the 5Ds: design, data collection, data analysis, discussion of findings, the ability to define the paper and its message) which may be useful in judging whether authorship should be considered. The authorship model proposed by the International Committee of Medical Journal Editors (ICMJE) is also outlined. The chapter also discusses different forms of inappropriate authorship models (ghost authorship, guest/honorary authorship, anonymous authorship) and presents intellectual property and copyright considerations. An author's responsibility to report an original, accurate, focused and repeatable account of the research conducted is also discussed.


1990 ◽  
Vol 10 (1) ◽  
pp. 49-65 ◽  
Author(s):  
Kim C. Graber

This study examined how teacher educators’ perceptions of their undergraduate students’ classroom agenda influenced subsequent expectations for trainee performance,1 more particularly, how those perceptions shape the ways in which instructional demands are defined, communicated, and enforced or relented over the span of an undergraduate course. Three teacher educators teaching two courses were studied along with a group of students who were enrolled in both courses. Data collection consisted of nonparticipant observation, interviews, and document analysis. The results indicate that the teacher educators developed perceptions of student agendas that in some regards were closely similar but in other ways were sharply divergent. Further, each instructor developed a perception of her students’ classroom agenda that was somewhat congruent with her own intentions for the class and her own standards for student intentions and actions. Accordingly, expectations for trainees’ classroom performance were communicated in ways that reflected the degree of congruence between perception of students’ agenda and the instructors’ own definition of desirable student characteristics.


Author(s):  
Deniz Ozcan ◽  
Meliha Kocamanoglu

Today special education has been developing all over the world as it is in our country and renews itself with new method and techniques. In my opinion an errorless person has never worked or has worked little. In this study after document scanning aiming data collection, a short definition of gifted and autistic children was done as well as their characteristics were given. The problems encountered in defining and diagnosing, persuasion dimension of parents regarding this subject with its similar and different aspects were shortly mentioned. Again in this study teaching methods of these children and the points to consider were mentioned without ruling out any point.  The study was finished by giving results and discussion sections.Keywords: gifted, autism, diagnosing of gifted ones


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