The Education and Care Divide: the role of the early childhood workforce in 15 European countries

International reports on early childhood education and care tend to attach increasing importance to workforce profiles. Yet a study of 15 European countries reveals that large numbers of (assistant) staff remain invisible in most international reports. As part of the CoRe project (Competence Requirements in Early Childhood Education and Care) we conducted a cross-national survey among experts in Belgium (Flemish- and French-speaking communities), Croatia, Denmark, France, Greece, Ireland, Italy, Lithuania, the Netherlands, Poland, Romania, Slovenia, Spain, Sweden and the UK (England and Wales). The survey explored professional and training profiles not only for formal ‘teaching’ staff, but also for the entire workforce, making visible the assistants who are often omitted from international reports. The proportion of assistant staff varies from a very small percentage in some European countries to half of the entire workforce in many others. Whereas job profiles for higher qualified staff often focus on ‘education’, profiles for assistants typically focus on ‘care’. Consequently a divide between care and education can be observed, both in split systems and in integrated systems. In these cases, the concept of ‘education’ may be narrowed down to schoolified learning and ‘care’ may be regarded as subordinate to education. In several cases, assistants also have less entitlement to ongoing professionalisation than educational staff. Consequences of the findings for practice as well as policy are discussed.     

Digit ratio (2D:4D) and competition level in world-class female gymnasts

Abstract

In this study the relationship between the digit ratio (2D:4D) and artistic gymnastics performance and competition level was investigated in a sample of Caucasian world-class female gymnasts (n = 145). The sample was divided into three competition events (compulsories, free work, final score). Within each event three performance groups (lowest, middle, and highest) were based on the competition scores gathered at the World Championships at Rotterdam, the Netherlands, in 1987. Lengths of the digits were measured on X-rays of the left hand. Several anthropometric dimensions were measured and from those measurements an androgyny index (Bayer & Bayley) and somatotype components (endomorphy, mesomorphy, ectomorphy) were calculated. Although significant differences in some anthropometric characteristics between the performance level groups within each competition event were observed, no significant differences in the 2D:4D ratios were found between the performance level groups, varying from 0.918 ± 0.020 to 0.924 ± 0.020. Also, no significant correlations were observed between the 2D:4D ratio and anthropometric, androgyny, and somatotype characteristics, r varying from r = –0.11 to r = +0.12. It can be concluded that in this sample the 2D:4D digit ratio, unlike other anthropometric characteristics, is not a discriminating factor for the performance in artistic gymnastics performance on a world-class level.     

A split-list approach for relevance feedback in information retrieval

In this paper we present a new algorithm for relevance feedback (RF) in information retrieval. Unlike conventional RF algorithms which use the top ranked documents for feedback, our proposed algorithm is a kind of active feedback algorithm which actively chooses documents for the user to judge. The objectives are (a) to increase the number of judged relevant documents and (b) to increase the diversity of judged documents during the RF process. The algorithm uses document-contexts by splitting the retrieval list into sub-lists according to the query term patterns that exist in the top ranked documents. Query term patterns include a single query term, a pair of query terms that occur in a phrase and query terms that occur in proximity. The algorithm is an iterative algorithm which takes one document for feedback in each of the iterations. We experiment with the algorithm using the TREC-6, -7, -8, -2005 and GOV2 data collections and we simulate user feedback using the TREC relevance judgements. From the experimental results, we show that our proposed split-list algorithm is better than the conventional RF algorithm and that our algorithm is more reliable than a similar algorithm using maximal marginal relevance.