Visions of In Vitro Meat among Experts and Stakeholders

In vitro meat (IVM) is presented by innovators as the most realistic and sustainable solution to the problems of current meat production and consumption. The innovators argue that in vitro meat could be more environmentally friendly, animal friendly, healthier, and safer than conventional meat. The paper elaborates different reactions of experts and stakeholders from science, civil society, economy, and politics to the innovators’ reasoning. The semi-structured interviews were conducted for the project “Visions of in vitro meat. Analysis of technical and societal aspects and visions of in vitro meat” (VIF) funded by the German Ministry of Education and Research. In this paper we will show how our interview partners positioned themselves in relation to the innovators’ vision on IVM and which other visions they brought into the discussion about IVM and the future of meat. The project was based on a concept of visions as socio-epistemic practices that are increasingly recognised as important elements in innovation and transformation processes. The analysis of these visions conducted in interviews with experts and stakeholders provided new knowledge for the conceptualisation and appraisal of in vitro meat beyond the innovators’ rhetoric.     

Defining Treatment Outcomes in Pediatric Obsessive-Compulsive Disorder Using a Self-Report Scale

This study examined benchmarks of treatment response and clinical remission on the Obsessive Compulsive Inventory–Child Version (OCI-CV) for youth with obsessive-compulsive disorder (OCD). Participants were 91 youth who enrolled in a randomized controlled trial that examined the benefit of augmenting cognitive behavior therapy (CBT) with either d-cycloserine or placebo. Youth completed the OCI-CV at baseline, Week 4 (prior to initiating exposure therapy), and posttreatment. Receiver operator curve (ROC) analyses examined optimal benchmarks for treatment response and clinical remission as identified by independent evaluators at the posttreatment assessment using the Clinical Global Impression (CGI) scales of Improvement (CGI-Improvement), Severity (CGI-Severity), and Children’s Yale-Brown Obsessive Compulsive Scale (CY-BOCS). Optimal benchmarks for treatment response were a 20%–25% reduction in the OCI-CV total score. Meanwhile, optimal benchmarks for remission were a 55%–65% reduction in the OCI-CV total score and a posttreatment total score ≤ 6-8. OCI-CV benchmarks exhibited moderate agreement with the CY-BOCS for treatment response and clinical remission. Meanwhile, fair agreement was observed for response and remission with CGI scales. A lower pretreatment OCI-CV total score was associated with less agreement between classification approaches. Findings provide benchmarks for classifying treatment response and clinical remission in an efficient manner. Given the moderate agreement between the CY-BOCS and OCI-CV benchmarks, the OCI-CV may serve as a useful alternative when clinician-rated scales cannot be administered due to limited resources (e.g., time, training). Thus, evidence-based measurement can be incorporated to monitor therapeutic response and remission in clinical practice.     

Modelling the History of Ideas

We propose a new method for the history of ideas that has none of the shortcomings so often ascribed to this approach. We call this method the model approach to the history of ideas. We argue that any adequately developed and implementable method to trace (dis)continuities in the history of human thought, or concept drift, will require that historians use explicit interpretive conceptual frameworks. We call these frameworks models. We argue that models enhance the comprehensibility of historical texts, and provide historians of ideas with a method that, unlike existing approaches, is susceptible neither to common holistic criticisms nor to Skinner's objections that the history of ideas yields arbitrary and biased reconstructions. To illustrate our proposal, we discuss the so-called Classical Model of Science and draw upon work in computer science and cognitive psychology.     

Multilevel Factor Analysis and Structural Equation Modeling of Daily Diary Coping Data: Modeling Trait and State Variation

This study used multilevel modeling of daily diary data to model within-person (state) and between-person (trait) components of coping variables. This application included the introduction of multilevel factor analysis (MFA) and a comparison of the predictive ability of these trait/state factors. Daily diary data were collected on a large (n = 366) multiethnic sample over the course of 5 days. Intraclass correlation coefficient for the derived factors suggested approximately equal amounts of variability in coping usage at the state and trait levels. MFAs showed that Problem-Focused Coping and Social Support emerged as stable factors at both the within-person and between-person levels. Other factors (Minimization, Emotional Rumination, Avoidance, Distraction) were specific to the within-person or between-person levels but not both. Multilevel structural equation modeling (MSEM) showed that the prediction of daily positive and negative affect differed as a function of outcome and level of coping factor. The Discussion section focuses primarily on a conceptual and methodological understanding of modeling state and trait coping using daily diary data with MFA and MSEM to examine covariation among coping variables and predicting outcomes of interest.     

Evidence on the Hierarchical,Multidimensional Nature of Behavioural Job Crafting

While to date job crafting has been conceptualised as consisting of behaviours aiming at seeking more resources, decreasing hindering demands, and seeking more challenges, recent research suggests that individuals may restore the fit between their demands and preferences also by optimising their demands. Accordingly, optimising demands has been introduced in the resource-based perspective to job crafting as an additional strategy that aims at making the work processes more efficient, simplifying procedures and eliminating obstacles. In this paper, we explore and provide evidence for the validity of a four-factor, hierarchical structure of behavioural job crafting constituted by increasing resources, seeking challenges, decreasing demands, and optimising demands. Moreover, our results provide initial evidence suggesting that overall job crafting may be more strongly characterised by effortful actions to expand the work characteristics rather than to reduce them.     

A Theory of Physical Activity Maintenance

Regular physical activity is related to numerous psychological and physical benefits. Physical activity interventions have had varying degrees of success with adoption; however, maintenance over the long term is even more difficult to achieve, as the majority of individuals who start a physical activity program drop out or relapse. Although the physical activity maintenance literature is scant, there is evidence that the predictors of adoption are different from those of maintenance. Thus, it follows that physical activity adoption and maintenance require unique approaches. The explanatory power of such predictors, however, is limited by the absence of a cogent theoretical framework. Therefore, this paper presents the Physical Activity Maintenance (PAM) theory, which incorporates individual psychosocial variables (goal-setting, motivation, and self-efficacy), and contextual variables of the environment and life stress (triggers of relapse). Goal-setting is framed as satisfaction, attainment, and commitment; motivation as self-motivation and expectations; and self-efficacy as both barrier and relapse. The contextual variables may facilitate or impede physical activity maintenance directly and indirectly via the individual psychosocial variables. The PAM is presented to stimulate research on physical activity maintenance and advance our understanding of how and why people do and do not maintain physical activity long term.