1,721,115 research outputs found
Individual cheating in the lab: a new measure and external validity
This paper investigates to what extent laboratory measures of cheating generalise to the field. To this purpose, we develop a lab measure that allows for individual-level observations of cheating whilst reducing the likelihood that participants feel observed. Decisions made in this laboratory task are then compared to individual choices taken in the field, where subjects can lie by misreporting their experimental earnings. We use two field variations that differ in the degree of anonymity of the field decision. According to our measure, no correlation of behaviour between the laboratory and the field is found. We then perform the same analysis using a lab measure that can only detect cheating at the aggregate level. In this case, we do find a weak correlation between the two environments. We discuss the significance and interpretation of these results
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
A study of metal contaminant availability in sediments
Of the many different chemical extraction or digestion procedures that have been proposed to quantify metal contamination, partial acid extractions are probably the best overall compromise between selectivity, sensitivity, precision and cost. The extent to which measured metal concentrations relate to the anthropogenic fraction that is bioavailable is controversial, but is one of the desired outcomes of an assessment or prediction of biological impact. As part of a survey on metal contamination in a coastal lagoon, we wanted to identify an extraction protocol that would allow a reasonable definition of the anthropogenic bioavailable fraction in sediment samples. From a kinetic study of the 1M HCl- extraction of two test sediments, we concluded that a 24 h extraction time allows the equilibrium dissolution of relatively labile metal contaminants
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
Phenotypic characterization of kidney infiltrating cell subsets in idiopathic acute interstitial nephritis associated with uveitis: evidence for a cell-mediated immune disease
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