Dilemmas in doing insider research in professional education

This article explores the dilemmas I encountered when researching social work education in England as an insider researcher who was simultaneously employed as an educator in the host institution. This was an ethnographic project deploying multiple methods and generating rich case study material which informed the student textbook Becoming a Social Worker the four-year period of the project. First, ethical dilemmas emerged around informed consent and confidentiality when conducting surveys of students and reading their portfolios. Second, professional dilemmas stemmed from the ways in which my roles as a researcher, academic tutor, social worker and former practice educator converged and collided. Third, political dilemmas pertained to the potential for the project to crystallize and convey conflicts among stakeholders in the university and community. Since the majority of research in social work education is conducted by insiders, we have a vital interest in making sense of such complexity

Shifting journalistic roles in democratic transitions: Lessons from Egypt

While in the case of the Arab Spring the focus of research and debate was very much on the role of social media in enabling political change both during the uprisings and in their immediate aftermath, the impact of traditional national mass media and journalism on framing this political change has been less addressed. In this article, we investigate the role of Egyptian journalists in shaping Egypt’s complex and fast-moving political transition. Based on a thematic analysis of in-depth interviews and a conceptual framework building on Christians et al.’s normative roles of the media, it can be concluded that the monitorial and facilitative roles, which were prevalent in the early stages of the post-Mubarak era, were quickly overturned in favor of a radical and collaborative role. Egyptian journalists working in private media thus demonized their political adversaries, mainly the Islamists, transforming this political ‘other’ into the ultimate enemy. At the same time, the new military regime was being revered and celebrated. This arguably contributed to further destabilize the fragile transition to democracy. It is furthermore concluded that for democracy to succeed in an Egyptian context, antagonistic political conflicts need to be transformed into agonistic ones both at the level of political culture and media culture

Normative perspectives on journalism studies: Stock-taking and future directions

Journalism has advanced greatly as a field in its own right in recent decades. As well as a cause for celebration, however, this may give rise to concerns – in particular that scholars may pay increasing attention to the inner workings of journalistic institutions at the expense of their external ties, impact and significance, including their normative ones. It is true that important normative analyses have appeared in the literature, six of which the article defines and exemplifies. So far, however, these ideas have had relatively little influence on the thought or practice of journalists. The article concludes by suggesting a way in which a closer and more constructive dialogue could be achieved between journalism scholars and practitioners, centring on the normative challenges faced by both sides

A mixed methods inquiry: How dairy farmers perceive the value(s) of their involvement in an intensive dairy herd health management program

<p>Abstract</p> <p>Background</p> <p>Research has been scarce when it comes to the motivational and behavioral sides of farmers' expectations related to dairy herd health management programs. The objectives of this study were to explore farmers' expectations related to participation in a health management program by: 1) identifying important ambitions, goals and subjective well-being among farmers, 2) submitting those data to a quantitative analysis thereby characterizing perspective(s) of value added by health management programs among farmers; and 3) to characterize perceptions of farmers' goals among veterinarians.</p> <p>Methods</p> <p>The subject was initially explored by means of literature, interviews and discussions with farmers, herd health management consultants and researchers to provide an understanding (a concourse) of the research entity. The concourse was then broken down into 46 statements. Sixteen Danish dairy farmers and 18 veterinarians associated with one large nationwide veterinary practice were asked to rank the 46 statements that defined the concourse. Next, a principal component analysis was applied to identify correlated statements and thus families of perspectives between respondents. Q-methodology was utilized to represent each of the statements by one row and each respondent by one column in the matrix. A subset of the farmers participated in a series of semi-structured interviews to face validate the concourse and to discuss subjects like animal welfare, veterinarians' competences as experienced by the farmers and time constraints in the farmers' everyday life.</p> <p>Results</p> <p>Farmers' views could be described by four families of perspectives: Teamwork, Animal welfare, Knowledge dissemination, and Production. Veterinarians believed that farmers' primary focus was on production and profit, however, farmers' valued teamwork and animal welfare more.</p> <p>Conclusion</p> <p>The veterinarians in this study appear to focus too much on financial performance and increased production when compared to most of the participating farmers' expectations. On the other hand veterinarians did not focus enough on the major products, which farmers really wanted to buy, i.e. teamwork and animal welfare. Consequently, disciplines like sociology, economics and marketing may offer new methodological approaches to veterinarians as these disciplines have understood that accounting for individual differences is central to motivate change, i.e. 'know thy customer'.</p

Detecting Inappropriate Comments to News

Inappropriate comments, defined as deliberately offensive, off-topic, troll-like, or direct attacks based on religious, sexual, racial, gender, or ethnic posts, are becoming increasingly problematic in user-generated content on the internet, because they can either derail the conversation or spread out harassment. Furthermore, the computational analysis of this kind of content, posted in response to professional news-papers, is not well investigated yet. To such an extent, the most predictive linguistic and cognitive features were seldom been addressed, and inappropriateness was not investigated deeply. After collecting a new dataset of inappropriate comments, three classic machine learning models were tested over two possible representations for the data to fed in: normal and distorted. Text distortion technique, thanks to its ability to mask thematic information, enhanced classification performance resulting in the valuable ground in which extract features from. Lexicon based features showed to be the most valuable characteristics to consider. Logistic regression turned out to be the most efficient algorithm