1,721,239 research outputs found
Performance and decisions: immigrant–native gaps in educational transitions in Italy
No full textFollowing the seminal work of Boudon, sociological research has conceptualized immigrant–native gaps in educational transitions as deriving from children of immigrants' poorer academic performance (primary effects) and from different decision models existing between native and immigrant families (secondary effects). The limited evidence on immigrant–native gaps in Europe indicates that secondary effects are generally positive: children of immigrants tend to make more ambitious educational choices than natives with the same prior performance. In this paper we review the different decomposition methods employed so far in the literature to tackle similar research questions, and extend the existing methodology to allow including interaction effects and taking explanatory variables under control. We apply this method to data coming from a unique Italian administrative data set. We find that children of immigrants exhibit higher likelihood to opt for vocational training over more generalist and academic programs, even when controlling for socio-economic background. A large share of the immigrant–native differentials in the probability to attend the different school programs is explained by the different prior performance distribution. However, decision models differ between groups, and, contrary to the evidence on other countries, these differences contribute to widening the existing gaps. If children of immigrants had the same social background and prior performance of their native peers, they still would be more likely to enroll in shorter and less-demanding school programs. Interestingly, these results hold true only for boys, while we find no evidence of decision effects for girls
Social selection in higher education. Enrolment, dropout and timely degree attainment in Italy
Full text linkIn this paper, we provide a comprehensive picture of social selectivity in higher education in Italy by focusing on enrolment and two alternative indicators of success: retention and timely completion. The existing literature has shown that young individuals of disadvantaged backgrounds have lower enrolment probabilities and higher chances of withdrawal. This paper analyses the size and features of this cumulative disadvantage, shaping the chances of high-school leavers of eventually attaining the university degree. We analyse whether social background inequalities are stronger at enrolment or at later outcomes, and how these inequalities vary with previous schooling experience. We confirm previous evidence that disadvantaged groups with respect to enrolment are also disadvantaged on persistence, add new findings on timely completion and show that cumulative inequalities are very strong. Inequalities are strongest among students holding technical and vocational high-school qualifications and weakest among well-performing students from lyceums. In addition, we examine the role of labour market conditions and whether they explain geographical differences. Enrolment, retention and timely completion probabilities appear negatively related to local youth unemployment rates, suggesting that with poor labour market prospects, individuals lose motivation and reduce their engagement in education
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Concentrazione e contenuto di metalli pesanti nell’aerosol atmosferico nella Provincia di Lecce
No full text
Depth-selective data analysis for time-domain fNIRS: Moments vs. time windows
Full text linkTime-domain measurements facilitate the elimination of the influence of extracerebral, systemic effects, a key problem in functional near-infrared spectroscopy (fNIRS) of the adult human brain. The analysis of measured time-of-flight distributions of photons often relies on moments or time windows. However, a systematic and quantitative characterization of the performance of these measurands is still lacking. Based on perturbation simulations for small localized absorption changes, we compared spatial sensitivity profiles and depth selectivity for moments (integral, mean time of flight and variance), photon counts in time windows and their ratios for different time windows. The influence of the instrument response function (IRF) was investigated for all measurands and for various source-detector separations. Variance exhibits the highest depth selectivity among the moments. Ratios of photon counts in different late time windows can achieve even higher selectivity. An advantage of moments is their robustness against the shape of the IRF and instrumental drifts
- …
