Strangers to Nature brings together many of the leading scholars who are working to redefine and expand the discourse on animal ethics. This volume will engage both scholars and lay-people by revealing the breadth of theorizing about the human/non-human animal relationship that is currently taking place.

Animal models of human disease play a central role in modern biomedical science. Developing animal models for human mental illness presents unique practical and philosophical challenges. In this article we argue that existing animal models of psychiatric disease are not valid, attempts to model syndromes are undermined by current nosology, models of symptoms are rife with circular logic and anthropomorphism, any model must make unjustified assumptions about subjective experience, and any model deemed valid would be inherently unethical, for if an (...) animal adequately models human subjective experience, then there is no morally relevant difference between that animal and a human. (shrink)

This book provides practical and research-based chapters that offer greater clarity about the particular kinds of teacher reflection that matter and avoids talking about teacher reflection generically, which implies that all kinds of reflection are of equal value.

\noindent\textbf{Introduction} Online interventions hold great potential for Therapeutic Change Process Research (TCPR), a field that aims to relate in-therapeutic change processes to the outcomes of interventions. Online a client is treated essentially through the language their counsellor uses, therefore the verbal interaction contains many important ingredients that bring about change. TCPR faces two challenges: how to derive meaningful change processes from texts, and secondly, how to assess these complex, varied and multi-layered processes? We advocate the use text mining and multi-level (...) models (MLMs): the former offers tools and methods to discovers patterns in texts; the latter can analyse these change processes as outcomes that vary at multiple levels. \noindent\textbf{Method} We (re-)used the data from \cite{Lamers2015} because it includes outcomes and the complete online intervention for clients with mild depressive symptoms. We used text mining to obtain basic text-variables from e-mails, that we analysed through MLMs. \noindent\textbf{Results} We found that we could relate outcomes of interventions to variables containing text-information. We conclude that we can indeed bridge text mining and MLMs for TCPR as it was possible to relate text-information (obtained through text mining) to multi-levelled TCPR outcomes (using a MLM). \noindent\textbf{Discussion} Text mining can be helpful to obtain change processes, which is also the main challenge for TCPR. We showed how MLMs and text mining can be combined, but our proposition leaves open how to obtain the most relevant textual operationalization of TCPR concepts. That requires interdisciplinary collaboration and discussion. The future does look bright: based on our proof-of-concept study we conclude that MLMs and text mining can indeed advance TCPR. (shrink)

At the 1983 Summer Conference on the Institute on Religion in an Age of Science, working groups chaired by the coauthors outlined some of the prospects for the use of somatic and germ line genetic engineering and related biological technologies to alleviate disease and to modify human behavior. They then offered a series of recommendations concerning the application of genetic engineering to persons and the monitoring of medical research and therapy.

BackgroundIt is commonly reported by editors that it has become harder to recruit reviewers for peer review and that this is because individuals are being asked to review too often and are experiencing reviewer fatigue. However, evidence supporting these arguments is largely anecdotal.Main bodyWe examine responses of individuals to review invitations for six journals in ecology and evolution. The proportion of invitations that lead to a submitted review has been decreasing steadily over 13 years (2003–2015) for four of the six (...) journals examined, with a cumulative effect that has been quite substantial (average decline from 56% of review invitations generating a review in 2003 to just 37% in 2015). The likelihood that an invitee agrees to review declines significantly with the number of invitations they receive in a year. However, the average number of invitations being sent to prospective reviewers and the proportion of individuals being invited more than once per year has not changed much over these 13 years, despite substantial increases in the total number of review invitations being sent by these journals—the reviewer base has expanded concomitant with this growth in review requests.ConclusionsThe proportion of review invitations that lead to a review being submitted has been declining steadily for four of the six journals examined here, but reviewer fatigue is not likely the primary explanation for this decline. (shrink)