The Future of Serials Cataloging,CONSER and the ISSN: Conversations from the Field

What does the future hold for the shape of serials to come and for cataloging these and other continuing resources? How should cataloging change to cope with still-unknown types of continuing resources? Will there still be a need for cataloging? For CONSER? For ISSN? How can libraries position themselves to partner with nonlibrary metadata creators in a future linked data environment? Four serials experts discuss these and other questions in a free-ranging conversation about the future of serials cataloging.     

Residential location and youth unemployment: The economic geography of school-to-work transitions

In response to increased international policy attention to youth unemployment this study investigates post-secondary school transitions of school leavers. Multinomial logit models are estimated for male and female German youth. The models control for individual, parent, and household characteristics, for those of the youth's region of residence and local labor markets. The findings suggest that immigrant youth has particularly low participation rates in continued education, and that youth unemployment is centered in high unemployment states and metropolitan areas. More generous academic benefit policies seem to be correlated with increased academic enrollment, and men's transitions to the military do reflect recent changes in defense policies. Received: 30 November 1999/Accepted: 3 August 2000     

Attitude towards gender norms in Ghana: understanding the dynamics among men and women in intimate relationships

Journal of Population Research - Despite the growing interest in issues relating to gender norms, few studies have targeted men and women in intimate relationships. Using the Gender Equitable Men...     

Accounting for animal density gradients using independent information in distance sampling surveys

Distance sampling is extensively used for estimating animal density or abundance. Conventional methods assume that location of line or point transects is random with respect to the animal population, yet transects are often placed along linear features such as roads, rivers or shorelines that do not randomly sample the study region, resulting in biased estimates of abundance. If it is possible to collect additional data that allow an animal density gradient with respect to the transects to be modelled, we show how to extend the conventional distance sampling likelihood to give asymptotically unbiased estimates of density for the covered area. We illustrate the proposed methods using data for a kangaroo population surveyed by line transects laid along tracks, for which the true density is known from an independent source, and the density gradient with respect to the tracks is estimated from a sample of GPS collared animals. For this example, density of animals increases with distance from the tracks, so that detection probability is overestimated and density underestimated if the non-random location of transects is ignored. When we account for the density gradient, there is no evidence of bias in the abundance estimate. We end with a list of practical recommendations to investigators conducting distance sampling surveys where density gradients could be an issue.