‘Running with the Fox and Hunting with the Hounds’: Social Work Tutors' Experiences of Managing Failing Social Work Students in Practice Learning Settings

The paper explores the issues raised by social work students failing in practice learning settings from the perspective of university tutors, by drawing on existing literature in this area from social work and nursing, as well as findings from a small‐scale empirical qualitative study. The qualitative study was influenced by practitioner‐researcher and practice‐near paradigms; and is based on interviews with twelve social work tutors in England. The findings reveal that tutors are able to articulate the important tasks and functions of their roles when issues of failing students in practice learning settings arise, although the process can be challenging. The challenges include: supporting practice educator and student, concerns about other tutors’ practices, the difficulties in promoting appropriate professional standards and values within higher education contexts and frustrations with practice educators and placements. Only a third of the respondents (four) however, articulated their gate keeping roles and responsibilities although this was not without its difficulties. Given the current reforms in social work education in England at this present time, with greater emphasis on threshold standards at entry level, and at key stages throughout the programme of study, the research is timely in terms of the critical consideration of the tutor role and challenges inherent in promoting appropriate standards.

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.