331,341 research outputs found
Children and the experience of violence: contrasting cultures of punishment in northern Nigeria
No full textArising out of debates over ‘children at risk’ and the ‘rights of the child’, the article compares two contrasting childhoods within a single large society—the Hausa‐speaking peoples of northern Nigeria. One segment of this society—the non‐Muslim Maguzawa—refuse to allow their children to be beaten; the other segment, the Muslim Hausa, tolerate corporal punishment both at home and especially in Qur'anic schools. Why the difference? Economic as well as political reasons are offered as reasons for the rejection of corporal punishment while it is argued that, in the eyes of Muslim society in the cities, the threat of punishment is essential for both educating and ‘civilising’ the young by imposing the necessary degree of discipline and self‐control that are considered the hallmark of a good Muslim. In short, ‘cultures of punishment’ arise out of specific historical conditions, with wide variations in the degree and frequency with which children actually suffer punishment, and at whose hands. Finally the question is raised whether the violence experienced in schooling has sanctioned in the community at large a greater tolerance of violence‐as‐‘punishment’
Open access self-archiving: An author study
No full textThis, our second author international, cross-disciplinary study on open access had 1296 respondents. Its focus was on self-archiving. Almost half (49%) of the respondent population have self-archived at least one article during the last three years. Use of institutional repositories for this purpose has doubled and usage has increased by almost 60% for subject-based repositories. Self-archiving activity is greatest amongst those who publish the largest number of papers. There is still a substantial proportion of authors unaware of the possibility of providing open access to their work by self-archiving. Of the authors who have not yet self-archived any articles, 71% remain unaware of the option. With 49% of the author population having self-archived in some way, this means that 36% of the total author population (71% of the remaining 51%), has not yet been appraised of this way of providing open access. Authors have frequently expressed reluctance to self-archive because of the perceived time required and possible technical difficulties in carrying out this activity, yet findings here show that only 20% of authors found some degree of difficulty with the first act of depositing an article in a repository, and that this dropped to 9% for subsequent deposits. Another author worry is about infringing agreed copyright agreements with publishers, yet only 10% of authors currently know of the SHERPA/RoMEO list of publisher permissions policies with respect to self-archiving, where clear guidance as to what a publisher permits is provided. Where it is not known if permission is required, however, authors are not seeking it and are self-archiving without it. Communicating their results to peers remains the primary reason for scholars publishing their work; in other words,
researchers publish to have an impact on their field. The vast majority of authors (81%) would willingly comply with a mandate from their employer or research funder to deposit copies of their articles in an institutional or subject-based repository. A further 13% would comply reluctantly; 5% would not comply with such a mandate
Last checkpoints of various losses for 3-D visualization
No full textLast checkpoints of various losses (Additive Margin Angular loss (ArcFace), Norm-Softmax (NS), Hyperbolic Softmax) for 3-D visualization trained on 6-class subset of MS1MV3 dataset
Last checkpoints of various losses for 3-D visualization
No full textLast checkpoints of various losses (Additive Margin Angular loss (ArcFace), Norm-Softmax (NS), Hyperbolic Softmax) for 3-D visualization trained on 6-class subset of MS1MV3 dataset
Evaluation of the 2-D permeability tensor for fractured rock masses
No full textAn approach is established to evaluate the 2-D permeability tensor of naturally fractured rock masses by using modified UDEC ¶. Based on the superposition principle, directional flow-rates through a unit square of fractured rock under head gradients in two orthogonal directions can be calculated with UDEC. Then the flow-rates are transformed into flow-rates through a field rock mass for evaluating the permeability tensor. Two kinds of fractured rock models, fixed hydraulic fracture aperture and variable hydraulic fracture aperture under stress, were studied by using this approach. For the first model, the permeability tensor of a fractured rock mass only depends upon the statistical features of fracture pattern geometry, including orientation, trace length, density of fractures. For the second model, the permeability tensor strongly depends upon both the geometry of the fracture pattern and the applied stress, such as the direction and magnitude of principal stress as well as the ratio of major principal stress to minor principal stress.<br/
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
The lender of last resort : alternative views and historical experience
No full textFour views on the proper role of the lender of last resort are defined. Historical evidence is given on the causes of banking panics in the U.S. and other countries and the roles lenders of last resort played in resolving them.Banks and banking - History ; Lenders of last resort ; Banks and banking, Central
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
No full textIn the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
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