18,177 research outputs found
Building body identities - exploring the world of female bodybuilders
This thesis explores how female bodybuilders seek to develop and maintain a viable sense of self despite being stigmatized by the gendered foundations of what Erving Goffman (1983) refers to as the 'interaction order'; the unavoidable presentational context in which identities are forged during the course of social life. Placed in the context of an overview of the historical treatment of women's bodies, and a concern with the development of bodybuilding as a specific form of body modification, the research draws upon a unique two year ethnographic study based in the South of England, complemented by interviews with twenty-six female bodybuilders, all of whom live in the U.K. By mapping these extraordinary women's lives, the research illuminates the pivotal spaces and essential lived experiences that make up the female bodybuilder. Whilst the women appear to be embarking on an 'empowering' radical body project for themselves, the consequences of their activity remains culturally ambivalent. This research exposes the 'Janus-faced' nature of female bodybuilding, exploring the ways in which the women negotiate, accommodate and resist pressures to engage in more orthodox and feminine activities and appearances
Towards a sociology of conspiracy theories: An investigation into conspiratorial thinking on Dönmes
This thesis investigates the social and political significance of conspiracy theories, which has been an academically neglected topic despite its historical relevance. The academic literature focuses on the methodology, social significance and political impacts of these theories in a secluded manner and lacks empirical analyses. In response, this research provides a comprehensive theoretical framework for conspiracy theories by considering their methodology, political impacts and social significance in the light of empirical data. Theoretically, the thesis uses Adorno's semi-erudition theory along with Girardian approach. It proposes that conspiracy theories are methodologically semi-erudite narratives, i.e. they are biased in favour of a belief and use reason only to prove it. It suggests that conspiracy theories appear in times of power vacuum and provide semi-erudite cognitive maps that relieve alienation and ontological insecurities of people and groups. In so doing, they enforce social control over their audience due to their essentialist, closed-to-interpretation narratives. In order to verify the theory, the study analyses empirically the social and political significance of conspiracy theories about the Dönme community in Turkey. The analysis comprises interviews with conspiracy theorists, conspiracy theory readers and political parties, alongside a frame analysis of the popular conspiracy theory books on Dönmes. These confirm the theoretical framework by showing that the conspiracy theories are fed by the ontological insecurities of Turkish society. Hence, conspiracy theorists, most readers and some political parties respond to their own ontological insecurities and political frustrations through scapegoating Dönmes. Consequently, this work shows that conspiracy theories are important symptoms of society, which, while relieving ontological insecurities, do not provide politically prolific narratives
The Professional Identity of Doctors who Provide Abortions: A Sociological Investigation
Abortion is a medicalised problem in England and Wales, where the law places doctors at the centre of legal provision and puts doctors in control of who has an abortion. However, the sex-selection abortion scandal of 2012 presented a very real threat to 'abortion doctors', when the medical profession's values and practices were questioned in the media, society and by Members of Parliament. Doctors found themselves at the centre of a series of claims that stated doctors were acting both illegally and unethically, driven by profit rather than patient needs. Yet, the perspectives of those doctors who provide abortions has been under-researched; this thesis aims to fill that gap by examining the beliefs and values of this group of doctors. Early chapters highlight the ambiguous position of the abortion provider in Britain, where doctors are seen as a collective group of professionals motivated by medical dominance and medical autonomy. They outline how this position is then questioned and contested, with doctors being presented as unethical. By studying abortion at the macro-, meso- and micro-levels, this thesis seeks to better understand the values of the 'abortion doctor', and how these levels shape the work and experiences of abortion providers in England and Wales. This thesis thus addresses the question: 'What do abortion doctors' accounts of their professional work suggest about the contemporary dynamics of the medicalisation of abortion in Britain?'. It investigates the research question using a qualitative methodological approach: face-to-face and telephone interviews were conducted with 47 doctors who provide abortions in England and Wales. The findings from this empirical study show how doctors' values are linked to how they view the 'normalisation of abortion'. At the macro-level doctors, openly resisted the medicalisation of abortion through the position ascribed to them by the legal framework, yet at the meso-level doctors construct an identity where normalising abortion is based on further medicalising services. Finally, at the micro-level, the ambiguous position of the abortion provider is further identified in terms of being both a proud provider and a stigmatised individual. This thesis shows that while the existing medicalisation literature has some utility, it has limited explanatory power when investigating the problem of abortion. The thesis thus provides some innovative insights into the relevance and value of medicalisation through a comprehensive study on doctors' values, beliefs and practices
Exploring environmental concerns on digital platforms through big data: the effect of online consumers’ environmental discourse on online review ratings
By deploying big data analytical techniques to retrieve and analyze a large volume of more than 2.7 million reviews, this work sheds light on how environmental concerns expressed by tourists on digital platforms, in the guise of online reviews, influence their satisfaction with tourism and hospitality services. More specifically, we conduct a multi-platform study of Tripadvisor.com and Booking.com online reviews (ORs) pertaining to hotel services across eight leading tourism destination cities in America and Europe over the period 2017–2018. By adopting multivariate regression analyses, we show that OR ratings are positively influenced by both the presence and depth of environmental discourse on these platforms. Theoretical and managerial contributions, and implications for digital platforms, big data analytics (BDA), electronic word-of-mouth (eWOM) and environmental research within the tourism and hospitality domain are examined, with a view to capturing, empirically, the effect of environmental discourse presence and depth on customer satisfaction proxied through online ratings
Strung pieces: on the aesthetics of television fiction series
As layered and long works, television fiction series have aesthetic properties that are built over time, bit by bit. This thesis develops a group of concepts that enable the study of these properties, It argues that a series is made of strung pieces, a system of related elements. The text begins by considering this sequential form within the fields of film and television. This opening chapter defines the object and methodology of research, arguing for a non-essentialist distinction between cinema and television and against the adequacy of textual and contextual analyses as approaches to the aesthetics of these shows. It proposes instead that these programmes should be described as televisual works that can be scrutinised through aesthetic analysis. The next chapters propose a sequence of interrelated concepts. The second chapter contends that series are composed of building blocks that can be either units into which series are divided or motifs that unify series and are dispersed across their pans. These blocks are patterned according to four kinds of relations or principles of composition. Repetition and variation are treated in tandem in the third chapter because of their close connection, given that variation emerges from established repetition. Exception and progression are also discussed together in the fourth chapter since they both require a long view of these serial works. The former, in order to be recognised as a deviation from the patterns of repetition and variation. The latter, In order to be understood in Its many dimensions as the series advances. Each of these concepts is further detailed with additional distinctions between types of units, motifs, repetitions, variations, and exceptions, using illustrative examples from numerous shows. In contrast, the section on progression uses a single series as case study, CarnivĂ le (2003-05), because this is the overarching principle that encompasses all the others. The conclusion considers the findings of the research and suggests avenues for their application
Self-help/mutual aid groups in mental health : ideology, helping mechanisms and empowerment
In the last quarter of the twentieth century, self-help/mutual aid groups for mental health issues started to emerge in growing numbers, mainly in Western societies, offering and/or advocating for alternative non-traditional forms of support, and attracted the attention of many researchers and clinicians for their unique characteristics. Among the subjects of interest are typologies of groups, helping mechanisms and benefits from participation. However, there is lack of systematic research in the area and existing studies have been largely confined to the therapeutic value of these groups instead of acknowledging their
socio-political meaning and subsequent psychosocial benefits for their members like personal empowerment.
The present study was conducted during the transitional years from a Conservative to a newly elected Labour Government (1996 -1998), with subsequent policy shifts taking place in the welfare sector. The purpose of the study was to explore the potential of self-help groups as part of a broader new social movement, the service user movement, focussing on the English scene. It addressed this issue examining the relevance of a group typology based on political ideology and focus of change. To test the validity of this classification for members, a set of individual characteristics and group mechanisms as well as their change
through time were examined. The sample consisted of fourteen mental health selfhelp/mutual aid groups from London and South East England, with a variety of structural and organisational features. The methodology used was a combination of both quantitative (self-completion questionnaires) and qualitative techniques (analysis of written material, participant observation and interviews). Measurements were repeated after a one-year interval (Time 1N=67, Time 2 N=56).
Findings showed that, indeed, political ideology of self-help/mutual aid groups provided the basis of a meaningful typology and constitutes a comprehensive way of categorising them. Group ideology was related to specific helping mechanisms and aspects of personal empowerment. Specifically, conservative and combined group members reported more expressive group processes like sharing of feelings and self-disclosure, while radical group members were more empowered and optimistic. Group identification was also associated with specific helping activities and aspects of empowerment in the three group categories. The psychosocial character of group types and the beneficial outcomes for members remained stable through time. In general, prolonged participation was reflected in greater member identification with the group and resulted in improved mental wellbeing, increased social support, companionship and optimism for the future
Studies of strategic performance management for classical organizations theory & practice
Nowadays, the activities of "Performance Management" have spread very broadly in actually every part of business and management. There are numerous practitioners and researchers from very different disciplines, who are involved in exploring the different contents of performance management. In this thesis, some relevant historic developments in performance management are first reviewed. This includes various theories and frameworks of performance management. Then several management science techniques are developed for assessing performance management, including new methods in Data Envelopment Analysis (DEA) and Soft System Methodology (SSM). A theoretical framework for performance management and its practical procedures (five phases) are developed for "classic" organizations using soft system thinking, and the relationship with the existing theories are explored. Eventually these results are applied in three case studies to verify our theoretical development. One of the main contributions of this work is to point out, and to systematically explore the basic idea that the effective forms and structures of performance management for an organization are likely to depend greatly on the organizational configuration, in order to coordinate well with other management activities in the organization, which has seemingly been neglected in the existing literature of performance management research in the sense that there exists little known research that associated particular forms of performance management with the explicit assumptions of organizational configuration. By applying SSM, this thesis logically derives some main functional blocks of performance management in 'classic' organizations and clarifies the relationships between performance management and other management activities. Furthermore, it develops some new tools and procedures, which can hierarchically decompose organizational strategies and produce a practical model of specific implementation steps for "classic" organizations. Our approach integrates popular types of performance management models. Last but not least, this thesis presents findings from three major cases, which are quite different organizations in terms of management styles, ownership, and operating environment, to illustrate the fliexbility of the developed theoretical framework
Recommended from our members
How do technologists do “ICT for development”? A contextualised perspective on ICT4D in South Africa
We take a layered approach to contextualise Information Communication Technology for Development (ICT4D) to understand digital technologists’ motivations to implement technologies to address socio-economic issues based on their capabilities and kinship affiliations. We adopt an interpretive approach to conducting an inductive qualitative study of digital technologists based in South Africa. We propose three mechanisms (emotional connectedness, user-centred technologies, and symbiotic relations) through which digital technologists undertake ICT4D to exercise their agency and enhance the socio-economic well-being of disadvantaged members of society. Taking the kinship perspective and capability approach as underlying motivations for undertaking ICT4D projects allows us to contribute to the ICT4D literature
Facial expression recognition and intensity estimation.
Doctoral Degree. University of KwaZulu-Natal, Durban.Facial Expression is one of the profound non-verbal channels through which human emotion state is inferred from the deformation or movement of face components when facial muscles are activated. Facial Expression Recognition (FER) is one of the relevant research fields in Computer Vision (CV) and Human-Computer Interraction (HCI). Its application is not limited to: robotics, game, medical, education, security and marketing. FER consists of a wealth of information. Categorising the information into primary emotion states only limit its performance. This thesis considers investigating an approach that simultaneously predicts the emotional state of facial expression images and the corresponding degree of intensity. The task also extends to resolving FER ambiguous nature and annotation inconsistencies with a label distribution learning method that considers correlation among data. We first proposed a multi-label approach for FER and its intensity estimation using advanced machine learning techniques. According to our findings, this approach has not been considered for emotion and intensity estimation in the field before. The approach used problem transformation to present FER as a multilabel task, such that every facial expression image has unique emotion information alongside the corresponding degree of intensity at which the emotion is displayed. A Convolutional Neural Network (CNN) with a sigmoid function at the final layer is the classifier for the model. The model termed ML-CNN (Multilabel Convolutional Neural Network) successfully achieve concurrent prediction of emotion and intensity estimation. ML-CNN prediction is challenged with overfitting and intraclass and interclass variations. We employ Visual Geometric Graphics-16 (VGG-16) pretrained network to resolve the overfitting challenge and the aggregation of island loss and binary cross-entropy loss to minimise the effect of intraclass and interclass variations. The enhanced ML-CNN model shows promising results and outstanding performance than other standard multilabel algorithms. Finally, we approach data annotation inconsistency and ambiguity in FER data using isomap manifold learning with Graph Convolutional Networks (GCN). The GCN uses the distance along the isomap manifold as the edge weight, which appropriately models the similarity between adjacent nodes for emotion predictions. The proposed method produces a promising result in comparison with the state-of-the-art methods.Author's List of Publication is on page xi of this thesis
Recommended from our members
Using Digital Storytelling in Science: Meaning Making with Students aged 10-12 years old
Meaning making is an essential aspect of learning as a process of interpreting and negotiating information while sharing it with others. One way of meaning making is through (digital) storytelling. The process of creating and telling a story depends on how one can see their understanding of something come together and make sense and it is considered a (socio) constructivist strategy of learning. The purpose and contribution of this research are to explore how digital storytelling may support engagement in meaning-making as students externalise their understanding of the science topic of matter. To this aim, two digital storytelling activities were constructed – SEeDS (Sequencing of Events enabling Digital Storytelling) and Narration. The two activities included the same content but differed in structure. SEeDS presented the story scenes in an order that was not predefined and Narration in a predefined order. Both activities derived elements from the theoretical concept of Tricky Topics and Stumbling Blocks (SBs). This research was informed by the theory of Problem-based learning.
Participants were sixty-one Greek primary students aged 10-12 years old and twenty-two English secondary students aged 11-12 years old. Half students worked through the SEeDS activity and the rest through the Narration activity. Students worked cooperatively in small teams to implement the two activities. A systematic analysis of the collected data was conducted using qualitative methods. Findings revealed that the two activities had supported the Greek and English students in externalising their understanding of many scientific concepts included in the topic of matter, while it identified gaps in their prior knowledge. The two activities have also facilitated the instinctive use of exploratory talk over the other two types (cumulative and disputational talk) that can often be found in peer talk in science learning. Finally, the two activities appeared to have engaged students in the two contexts, as they allowed them to own the story creation whilst working independently. Finally, the Greek and English students viewed the SEeDS activity as challenging, making it hard to complete and at times tiring and confusing, and the Narration activity as easy to implement, giving students the opportunity to mainly focus on inventing the story plot.
This research makes a valuable contribution to the literature on making meaning in science, offering new insights about the use of problem-based stories supported by mobile technology. The findings provide opportunities to further explore the practical application of problem-based digital storytelling activities, which are hard thinking and challenging, across different age groups and cultural contexts. There is a need for teaching practices to be based on socio-constructivist learning approaches that focus on students’ thinking, not performance. Therefore, the implications of this research are relevant to a number of educational contexts and levels
- …