A Democracy of Children’s Literature Critics? The Opportunities and Risks of Paying Attention to Open Reviews and Mass Discussion

Drawing on the outputs of a wider democracy of online reviewers presents the academic study of children’s literature with opportunities and challenges, and can enhance critical discussion. As it is now easy to locate a large number of online reviews, it is argued that children’s literature studies needs to make room for a wider range of critical voices. This article reports on the work of two cohorts of over a thousand students. Each cohort, in consecutive years, researched online reviews as part of their studies in contemporary children’s literature on a one year part-time module at a distance learning university. Despite the perceived lack of status of non-academic, non-professional critiques, students’ and tutors’ experiences of these tasks showed the value of researching online reviews. This work also allowed for alternative forms of writing and assessment alongside more conventional academic essays, and encouraged students to develop their skills of critical digital literacy. Module leaders recommended basic initial research methods for student use, but for more extensive or larger scale research it will be important to address methodological issues and understand how online reviewer communities operate. Such changes in approaches to teaching and learning also need to take into account the issues surrounding social media usage, ownership and control

Issue 15: Economic Precarity among Syrian Refugee Families Living in Lebanon: Policy Recommendations to Restore Hope in the Context of Displacement

The conflict in Syria has been described as the largest humanitarian crisis to date. Ongoing for over eight years, the conflict has resulted in over five million refugees and 6.6 million people internally displaced within the borders of Syria. Most refugees from Syria have been displaced to neighbouring countries such as Jordan, Turkey, Iraq, and Lebanon. Lebanon is host to over one million Syrian refugees. Prior to the Syrian crisis, Lebanon was struggling economically, which has since exacerbated anti-refugee sentiment and government policies that aim to discourage Syrians from seeking refuge in Lebanon. Within Lebanon, Syrian families are challenged with high rates of poverty, restrictive governmental policies and regulations, a lack of affordable housing and health care, food insecurity, and family violence. These challenges have a destabilizing effect on Syrian families, impacting the mental health of parents as well as their ability to meet their families’ basic needs. This policy brief draws on research conducted with Syrian families in Lebanon to highlight policy points to address the impacts of economic precarity on the health and well-being of Syrian families. The lessons drawn from this research can be applied both within areas of displacement and in post-resettlement settings where issues of economic precarity can often persist

\u3ci\u3ePLIVA v. Mensing\u3c/i\u3e and Its Implications

The U.S. Supreme Court ruling in PLIVA Inc. v. Mensing will immunize generic drug manufacturers facing failure-to-warn claims from state-law liability, and may also have implications for preemption jurisprudence more generally, says attorney Brian Wolfman and co-author Dena Feldman in this BNA Insight. The authors analyze the ruling, and offer their views on the questions that PLIVA raises about the ongoing vitality of the presumption against preemption, the standard for determining ‘‘impossibility’’ preemption, and the propriety of deference to an agency’s views on preemption

Meaningful vs. rote learning in arithmetic the decomposition vs. the equal additions method of subtraction

Thesis (Ed.M.)--Boston Universit

Consistency of Maximum Likelihood for Continuous-Space Network Models

Network analysis needs tools to infer distributions over graphs of arbitrary size from a single graph. Assuming the distribution is generated by a continuous latent space model which obeys certain natural symmetry and smoothness properties, we establish three levels of consistency for non-parametric maximum likelihood inference as the number of nodes grows: (i) the estimated locations of all nodes converge in probability on their true locations; (ii) the distribution over locations in the latent space converges on the true distribution; and (iii) the distribution over graphs of arbitrary size converges.Comment: 21 page

A history of Beverly, Massachusetts (for use in junior high schools).

Thesis (Ed.M.)--Boston Universit