Double-voicing at work : power, gender and linguistic expertise

'Double-voicing' means that when a person speaks, they have a heightened awareness of the concerns and agendas of others, which is reflected in the ways they adjust their language in response to interlocutors. The Russian philosopher Mikhail Bakhtin famously applied the concept of 'double-voiced discourse' to the world of literature, but just touched upon its relevance to everyday language. This book reveals how 'double-voicing' is an inherent and routine part of spoken interactions within educational and professional contexts. Double-voicing is closely related to the ways in which power relations are constructed between speakers, as it is often used by less powerful speakers to negotiate perceived threats from more powerful others. The book explores how women leaders use double-voicing more than men as a means of gaining acceptance and approval in the workplace. While double-voicing at times indexes a speaker's linguistic insecurity, the book argues that it can be harnessed to demonstrate linguistic expertise.

Double-voicing at work:power, gender and linguistic expertise

'Double-voicing' means that when a person speaks, they have a heightened awareness of the concerns and agendas of others, which is reflected in the ways they adjust their language in response to interlocutors. The Russian philosopher Mikhail Bakhtin famously applied the concept of 'double-voiced discourse' to the world of literature, but just touched upon its relevance to everyday language. This book reveals how 'double-voicing' is an inherent and routine part of spoken interactions within educational and professional contexts. Double-voicing is closely related to the ways in which power relations are constructed between speakers, as it is often used by less powerful speakers to negotiate perceived threats from more powerful others. The book explores how women leaders use double-voicing more than men as a means of gaining acceptance and approval in the workplace. While double-voicing at times indexes a speaker's linguistic insecurity, the book argues that it can be harnessed to demonstrate linguistic expertise.

"You have ruined this entire experiment…shall we stop talking now?" Orientations to the experimental setting as an interactional resource

One limitation widely noted in sociolinguistics is the tension presented by the ‘observer’s paradox’ (Labov, 1972), i.e. the notion that everyday language is ‘susceptible to contamination by observation’ (Stubbs, 1983: 224). The observer’s paradox has been perceived to present significant challenges to traditional sociolinguistic researchers seeking to explore the processes at work during ordinary interaction. More recently, scholars have begun to argue that in fact the presence of a recording device, rather than being a mere constraint on spoken interaction, is in itself an interactional resource explicitly oriented to by participants (Speer & Hutchby 2003; Gordon 2012). Drawing on a collection of transcripts collected in experimental conditions as part of a wider project exploring the relationship between language and identity, this paper seeks to explore how these orientations manifest themselves in the context of Instant Messaging (IM) conversations. We show different orientations to the experimental setting, and different understandings of the role of the researcher – represented in this case by the IM chat archive – as both a topic of discussion and as a participant themselves.

Everyday use of Spanish among bilingual teachers in New York City and their attitudes toward the language

The attitudes that bilingual teachers have toward the use of foreign languages seem to have an effect on the success of bilingual education programs. In this study, our purpose is to shed light on how often bilingual teachers in New York City use Spanish in their everyday lives, and to examine their attitudes toward the use of Spanish in the U.S. Overall, results indicate only moderate frequencies of use of Spanish in everyday life among bilingual teachers. In addition, the study shows that bilingual teachers have a favorable attitude toward the use of Spanish in the U.S. However, bilingual teachers whose first language is English seem to have a more favorable attitude than those whose first language is Spanish. Among the native Spanish speakers, those born abroad show a more favorable attitude than those born in the U.S. Although no group seems to favor the use of lexical borrowings and code-switching, bilingual native Spanish-speaking teachers born in the U.S. seem to have a less favorable attitude than native Spanish-speaking teachers born abroad. In addition, native Spanish-speaking teachers born abroad seem to have a less favorable attitude toward lexical borrowings and code-switching than U.S.-born teachers whose first language is English. Recommendations for the training of bilingual teachers are discussed in the conclusions of the study.

Mundane heterosexism: understanding incidents of the everyday

In this article, discourse analysis, combined with lesbian feminist politics, are used to explore subtle forms of heterosexism in language, a social phenomenon that I have termed "mundane heterosexism," because of its everyday nature. Drawing on feminist understandings of subtle sexism and discursive psychology I analyse three forms of mundane heterosexism derived from (predominantly) tape-recorded antiheterosexism training session data: (1) prejudice against the heterosexual, (2) nonheterosexuality as a deficit and (3) refusing diversity. Two levels for challenging mundane heterosexism are discussed. interactional counterarguments, and broader societal campaigns. I conclude by advocating the necessity of further detailed analyses of the construction of mundane heterosexism, and stress the importance of heterosexism for feminist research. © 2001 Elsevier Science Ltd. All rights reserved.

ALEX:mobile language assistant for low-literacy adults

Basic literacy skills are fundamental building blocks of education, yet for a very large number of adults tasks such as understanding and using everyday items is a challenge. While research, industry, and policy-making is looking at improving access to textual information for low-literacy adults, the literacy-based demands of today's society are continually increasing. Although many community-based organizations offer resources and support to adults with limited literacy skills, current programs have difficulties reaching and retaining those that would benefit most from them. To address these challenges, the National Research Council of Canada is proposing a technological solution to support literacy programs and to assist low-literacy adults in today's information-centric society: ALEX© – Adult Literacy support application for EXperiential learning. ALEX© has been created together with low-literacy adults, following guidelines for inclusive design of mobile assistive tools. It is a mobile language assistant that is designed to be used both in the classroom and in daily life, in order to help low-literacy adults become increasingly literate and independent.

Conversational interaction in the scanner:mentalizing during language processing as revealed by MEG

Humans are especially good at taking another's perspective-representing what others might be thinking or experiencing. This "mentalizing" capacity is apparent in everyday human interactions and conversations. We investigated its neural basis using magnetoencephalography. We focused on whether mentalizing was engaged spontaneously and routinely to understand an utterance's meaning or largely on-demand, to restore "common ground" when expectations were violated. Participants conversed with 1 of 2 confederate speakers and established tacit agreements about objects' names. In a subsequent "test" phase, some of these agreements were violated by either the same or a different speaker. Our analysis of the neural processing of test phase utterances revealed recruitment of neural circuits associated with language (temporal cortex), episodic memory (e.g., medial temporal lobe), and mentalizing (temporo-parietal junction and ventromedial prefrontal cortex). Theta oscillations (3-7 Hz) were modulated most prominently, and we observed phase coupling between functionally distinct neural circuits. The episodic memory and language circuits were recruited in anticipation of upcoming referring expressions, suggesting that context-sensitive predictions were spontaneously generated. In contrast, the mentalizing areas were recruited on-demand, as a means for detecting and resolving perceived pragmatic anomalies, with little evidence they were activated to make partner-specific predictions about upcoming linguistic utterances.

An investigation into the tension arising between natural language and mathematical language experienced by mechanical engineering students

This investigation is grounded within the concept of embodied cognition where the mind is considered to be part of a biological system. A first year undergraduate Mechanical Engineering cohort of students was tasked with explaining the behaviour of three balls of different masses being rolled down a ramp. The explanations given by the students highlighted the cognitive conflict between the everyday interpretation of the word energy and its mathematical use. The results showed that even after many years of schooling, students found it challenging to interpret the mathematics they had learned and relied upon pseudo-scientific notions to account for the behaviour of the balls.

Intersubjectivity and sentiment:from language to knowledge

Intersubjectivity is an important concept in psychology and sociology. It refers to sharing conceptualizations through social interactions in a community and using such shared conceptualization as a resource to interpret things that happen in everyday life. In this work, we make use of intersubjectivity as the basis to model shared stance and subjectivity for sentiment analysis. We construct an intersubjectivity network which links review writers, terms they used, as well as the polarities of the terms. Based on this network model, we propose a method to learn writer embeddings which are subsequently incorporated into a convolutional neural network for sentiment analysis. Evaluations on the IMDB, Yelp 2013 and Yelp 2014 datasets show that the proposed approach has achieved the state-of-the-art performance.