Exploring Authority: A Case Study of a Composition and a Professional Writing Classroom

Abstract

This article reports on classroom research designed to answer questions about authority—how institutions and disciplines, broadly conceived, influence teachers' ability to abnegate authority and how students' experiences influence their perceptions of authority in a business writing and a first-year composition class. The theoretical framework is derived from research about institutional and disciplinary influences on these two areas of study. This framework and our results lead us to speculate about the ways in which our students' experience of the institution and expectations of the classes and their intentions for using the material taught in the classes may have thwarted our attempt to share authority in our classrooms.     

Costing information services

Information centers are being established for many disciplines. For the medical profession, users can benefit directly from these centers by having information searched by medical library professionals and readily available. If the users of an information system are to share in the operating expenses, some equitable system of charges must be established. The numerous systems of establishing user charges are listed and discussed, with the advantages or disadvantages of each system explained. After the systems have been reviewed, alternative methods of establishing prices are presented along with a typical example of what these prices might be, ranging from $7.50 to $2.50 per request. The implementation of the cost system is outlined and certain philosophical questions are posed.     

Numerical Estimation in Deaf and Hearing Adults

Deaf students often lag behind hearing peers in numerical and mathematical abilities. Studies of hearing children with mathematical difficulties highlight the importance of estimation skills as the foundation for formal mathematical abilities, but research with adults is limited. Deaf and hearing college students were assessed on the Number-to-Position task as a measure of estimation, and completed standardised assessments of arithmetical and mathematical reasoning. Deaf students performed significantly more poorly on all measures, including making less accurate number-line estimates. For deaf students, there was also a strong relationship showing that those more accurate in making number-line estimates achieved higher scores on the math achievement tests. No such relationship was apparent for hearing students. Further insights into the estimation abilities of deaf individuals should be made, including tasks that require symbolic and non-symbolic estimation and which address the quality of estimation strategies being used.     

Does the normalized citation impact of universities profit from certain properties of their published documents – such as the number of authors and the impact factor of the publishing journals? A multilevel modeling approach

Research evaluation based on bibliometrics is prevalent in modern science. However, the usefulness of citation counts for measuring research impact has been questioned for many years. Empirical studies have demonstrated that the probability of being cited might depend on many factors that are not related to the accepted conventions of scholarly publishing. The current study investigates the relationship between the performance of universities in terms of field-normalized citation impact (NCS) and four factors (FICs) with possible influences on the citation impact of single papers: journal impact factor (JIF), number of pages, number of authors, and number of cited references. The study is based on articles and reviews published by 49 German universities in 2000, 2005 and 2010. Multilevel regression models have been estimated, since multiple levels of data have been analyzed which are on the single paper and university level. The results point to weak relationships between NCSs and number of authors, number of cited references, number of pages, and JIF. Thus, the results demonstrate that there are similar effects of all FICs on NCSs in universities with high or low NCSs. Although other studies revealed that FICs might be effective on the single paper level, the results of this study demonstrate that they are not effective on the aggregated level (i.e., on the institutional NCSs level).     

Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data

Lee et al. (2015) – based on Uzzi et al. (2013) – and Wang et al. (2017) proposed scores based on cited references (cited journals) data which can be used to measure the novelty of papers (named as novelty scores U and W in this study). Although previous research has used novelty scores in various empirical analyses, no study has been published up to now – to the best of our knowledge – which quantitatively tested the convergent validity of novelty scores: do these scores measure what they propose to measure? Using novelty assessments by faculty members (FMs) at F1000Prime for comparison, we tested the convergent validity of the two novelty scores (U and W). FMs’ assessments do not only refer to the quality of biomedical papers, but also to their characteristics (by assigning certain tags to the papers): for example, are the presented findings or formulated hypotheses novel (tags “new findings” and “hypothesis”)? We used these and other tags to investigate the convergent validity of both novelty scores. Our study reveals different results for the novelty scores: the results for novelty score U are mostly in agreement with previously formulated expectations. We found, for instance, that for a standard deviation (one unit) increase in novelty score U, the expected number of assignments of the “new finding” tag increase by 7.47%. The results for novelty score W, however, do not reflect convergent validity with the FMs’ assessments: only the results for some tags are in agreement with the expectations. Thus, we propose – based on our results – the use of novelty score U for measuring novelty quantitatively, but question the use of novelty score W.     

Disentangling the predictive validity of high school grades for academic success in university

To refine selective admission models, we investigate which measure of prior achievement has the best predictive validity for academic success in university. We compare the predictive validity of three core high school subjects to the predictive validity of high school grade point average (GPA) for academic achievement in a liberal arts university programme. Predictive validity is compared between the Dutch pre-university (VWO) and the International Baccalaureate (IB) diploma. Moreover, we study how final GPA is predicted by prior achievement after students complete their first year. Path models were separately run for VWO (n = 314) and IB (n = 113) graduates. For VWO graduates, high school GPA explained more variance than core subject grades in first-year GPA and final GPA. For IB graduates, we found the opposite. Subsequent path models showed that after students’ completion of the first year, final GPA is best predicted by a combination of first-year GPA and high school GPA. Based on our small-scale results, we cautiously challenge the use of high school GPA as the norm for measuring prior achievement. Which measure of prior achievement best predicts academic success in university may depend on the diploma students enter with.     

Treatment of muscle injuries in football

ABSTRACT

Muscle injuries are frequent and represent one of the most substantial medical problems in professional football. They can have both traumatic and overuse causes with direct practical consequence due to differences in terms of the post-primary care regimen and prognosis. An accurate diagnosis is the first step towards a specific treatment and usually allows to predict return to play (RTP). Current treatment principles have no firm scientific basis; they are practiced largely as empirical medicine due to a lack of prospective randomised studies. Immediate treatment usually follows the PRICE-principle (protection, rest, ice, compression, elevation). Depending on the type of the muscle injury, specific physical and physiotherapeutical procedures as well as rehabilitative exercises and gradual training therapy are used to recondition the injured structure, to restore coordination and proprioception, and to normalise movement patterns. Injection therapy with various substances is frequently used, with positive results empirically, but evidence in form of prospective randomised studies is lacking. A precise rehabilitation plan should be developed for every muscle injury, including recommendations for sport-specific training with increasing intensity. Since there are no guidelines regarding safe RTP, regular follow-up examinations on the current muscle status are crucial to evaluate the progress made in terms of healing and to determine when the injured muscle can be exposed to the next step of load. This narrative review describes the various factors that a medical team should consider during assessment, treatment and rehabilitation of a muscle injury with particular focus on professional football.     

Algorithmically generated subject categories based on citation relations: An empirical micro study using papers on overall water splitting

One important reason for the use of field categorization in bibliometrics is the necessity to make citation impact of papers published in different scientific fields comparable with each other. Raw citations are normalized by using field-categorization schemes to achieve comparable citation scores. There are different approaches to field categorization available. They can be broadly classified as intellectual and algorithmic approaches. A paper-based algorithmically constructed classification system (ACCS) was proposed which is based on citation relations. Using a few ACCS field-specific clusters, we investigate the discriminatory power of the ACCS. The micro study focusses on the topic ‘overall water splitting’ and related topics. The first part of the study investigates intellectually whether the ACCS is able to identify papers on overall water splitting reliably and validly. Next, we compare the ACCS with (1) a paper-based intellectual (INSPEC) classification and (2) a journal-based intellectual classification (Web of Science, WoS, subject categories). In the last part of our case study, we compare the average number of citations in selected ACCS clusters (on overall water splitting and related topics) with the average citation count of publications in WoS subject categories related to these clusters. The results of this micro study question the discriminatory power of the ACCS. We recommend larger follow-up studies on broad datasets.