Two Metatextual Operators: Negation and Conditionality in English and Polish

Proceedings of the Eighteenth Annual Meeting of the Berkeley Linguistics Society: General Session and Parasession on The Place of Morphology in a Grammar (1992), pp. 61-7

Constructional Compositionality and Blending

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Metaphors for ‘good’ and ‘bad’ deaths: A health professional view

This paper discusses the metaphors used by sixteen palliative healthcare professionals from around the United Kingdom in semi-structured interviews to describe what they see as ‘good’ and ‘bad’ deaths. e interviews, conducted for the large-scale “Metaphor in End-of-Life Care” project, are set against the background of contemporary practices and discourses around end-of-life care, dying and quality of death. To date, the use of metaphor in descriptions of different types of deaths has not received much attention. Applying the Metaphor Identification Procedure (Pragglejaz Group, 2007) we find that the difference between good and bad deaths is partly expressed via different frequencies of contrasting metaphors, such as ‘peacefulness’ and ‘openness’ as opposed to ‘struggle’ and ‘pushing away’ professional help. We show how metaphors are used to: evaluate deaths and the dying; justify those evaluations; present a remarkably consistent view of different types of deaths; and promote a particular ‘framing’ of a good death, which is closely linked with the dominant sociocultural and professional contexts of our interviewees. We discuss the implications of these consistent evaluations and framings in broader end-of-life care contexts, and reflect on the significance of our findings for the role of metaphor in communication about sensitive experiences

Narratives and social identity formation among Somalis and post-enlargement Poles

The article examines the narratives of collective belonging among two migrant groups, Somalis and post-enlargement Poles, who live in the London borough of Ealing (United Kingdom). In order to gain a better understanding of the processes of social identity formation, the article proposes a synthesis of a social identity approach, in particular the recent discursive developments in the field, with a political opportunity structure approach. Drawing upon these bodies of research, the article analyzes the understandings of collective identity among Somalis and post-enlargement Poles according to three sets of social relationships: the group's relationship with the political environment; its relationship with other groups; and its relationship with people who share the same ascribed identity. The findings of the study confirm that social identity is shaped by not only intra- and intergroup cognitive elements but also by the political environment in which a group operates

The heterogeneous effect of diversity: Ascriptive identities, class and redistribution in developed democracies

The current consensus among comparative political scientists postulates that diverse democracies redistribute less than homogeneous ones. However, whereas homogeneous democracies redistribute more on average, diverse democracies exhibit high variation in redistributive outcomes. Why does ascriptive heterogeneity stifle redistribution in some cases but not in others? In this article, it is argued that diversity undermines redistributive outcomes when identity groups differ more starkly in their income levels. More importantly, under these conditions, the policy outcomes are not uniform: rather than general cutbacks, richer groups selectively under‐prioritise benefits and access for poorer, minority‐heavy groups while keeping their own redistributive interests protected. The result is not simply less redistribution aggregately, but a more exclusionary and regressive welfare state that prioritises the social needs of better‐off identity groups. Empirical support is found for these hypotheses using macrocomparative panel data on multiple redistributive aspects in 22 developed democracies in the years 1980–2011. The article thus outlines a conditional and more nuanced relationship between diversity and redistributive outcomes than commonly assumed, as well as several broader lessons for research of identity politics and social policy.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147802/1/ejpr12283_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147802/2/ejpr12283-sup-0001-Appendix.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147802/3/ejpr12283.pd

Liver segmentation in MRI: a fully automatic method based on stochastic partitions

There are few fully automated methods for liver segmentation in magnetic resonance images (MRI) despite the benefits of this type of acquisition in comparison to other radiology techniques such as computed tomography (CT). Motivated by medical requirements, liver segmentation in MRI has been carried out. For this purpose, we present a new method for liver segmentation based on the watershed transform and stochastic partitions. The classical watershed over-segmentation is reduced using a marker-controlled algorithm. To improve accuracy of selected contours, the gradient of the original image is successfully enhanced by applying a new variant of stochastic watershed. Moreover, a final classifier is performed in order to obtain the final liver mask. Optimal parameters of the method are tuned using a training dataset and then they are applied to the rest of studies (17 datasets). The obtained results (a Jaccard coefficient of 0.91 +/- 0.02) in comparison to other methods demonstrate that the new variant of stochastic watershed is a robust tool for automatic segmentation of the liver in MRI. (C) 2014 Elsevier Ireland Ltd. All rights reserved.This work has been supported by the MITYC under the project NaRALap (ref. TSI-020100-2009-189), partially by the CDTI under the project ONCOTIC (IDI-20101153), by Ministerio de Educacion y Ciencia Spain, Project Game Teen (TIN2010-20187) projects Consolider-C (SEJ2006-14301/PSIC), "CIBER of Physiopathology of Obesity and Nutrition, an initiative of ISCIII" and Excellence Research Program PROMETEO (Generalitat Valenciana. Conselleria de Educacion, 2008-157). We would like to express our gratitude to the Hospital Clinica Benidorm, for providing the MR datasets and to the radiologist team of Inscanner for the manual segmentation of the MR images.López-Mir, F.; Naranjo Ornedo, V.; Angulo, J.; Alcañiz Raya, ML.; Luna, L. (2014). Liver segmentation in MRI: a fully automatic method based on stochastic partitions. Computer Methods and Programs in Biomedicine. 114(1):11-28. https://doi.org/10.1016/j.cmpb.2013.12.022S1128114

Narrative Modulation in the Storytelling of Breast Cancer Survivors’ Transitional Experiences

This chapter aims to investigate breast cancer survivors’ diverse experiences and complex needs during the critical transitional periods between diagnosis, treatment and survivorship. The chapter proposes and develops an original concept of “narrative modulation” in storytelling, which is employed to analyse breast cancer survivors’ written narratives. The study finds that narrative modulators that function by image schemas, metaphors, frames, as well as psychosocial coping and adjustment strategies are instrumental in configuring and navigating breast cancer survivors’ journeys from health crisis to survivorship. The model of narrative modulation offers an original and useful analytical approach for researchers and healthcare practitioners to gain a nuanced and contextualised understanding of patients’ continual adaptations during cancer survivorship within their own socio-cultural and personal environments

Mind-modelling with corpus stylistics in David Copperfield

We suggest an innovative approach to literary discourse by using corpus linguistic methods to address research questions from cognitive poetics. In this article, we focus on the way that readers engage in mind-modelling in the process of characterisation. The article sets out our cognitive poetic model of characterisation that emphasises the continuity between literary characterisation and real-life human relationships. The model also aims to deal with the modelling of the author’s mind in line with the modelling of the minds of fictional characters. Crucially, our approach to mind-modelling is text-driven. Therefore we are able to employ corpus linguistic techniques systematically to identify textual patterns that function as cues triggering character information. In this article, we explore our understanding of mind-modelling through the characterisation of Mr. Dick from David Copperfield by Charles Dickens. Using the CLiC tool (Corpus Linguistics in Cheshire) developed for the exploration of 19th-century fiction, we investigate the textual traces in non-quotations around this character, in order to draw out the techniques of characterisation other than speech presentation. We show that Mr. Dick is a thematically and authorially significant character in the novel, and we move towards a rigorous account of the reader’s modelling of authorial intention