Re-ranking search results using an additional retrieved list

We present a novel approach to re-ranking a document list that was retrieved in response to a query so as to improve precision at the very top ranks. The approach is based on utilizing a second list that was retrieved in response to the query by using, for example, a different retrieval method and/or query representation. In contrast to commonly-used methods for fusion of retrieved lists that rely solely on retrieval scores (ranks) of documents, our approach also exploits inter-document-similarities between the lists—a potentially rich source of additional information. Empirical evaluation shows that our methods are effective in re-ranking TREC runs; the resultant performance also favorably compares with that of a highly effective fusion method. Furthermore, we show that our methods can potentially help to tackle a long-standing challenge, namely, integration of document-based and cluster-based retrieved results.     

Meteorology and the rhetoric of nature's cultural display

On television (the primary source of weather information), meteorology, or the science of short‐term weather prediction, visually associates atmospheric information as relevant to social and economic issues. This is particularly true on The Weather Channel (TWC). This essay borrows and extends the work of Lessl and Messaris to examine the rhetoric of TV meteorology as it is displayed on TWC. I argue that TWC combines priestly (expertise) and bardic (visual eloquence) discourse to create “weathertainment” that predicates and encourages consumer practices.     

Reinventing Governance: The Role of Boards of Governors in the New Austrian University

In the last decade, the university sector in many European countries has undergone manifold changes in relation to the design of governance structures and processes. Accordingly, a board of governors with far‐reaching competences was implemented by the latest reform of the Austrian higher education system in 2002. Drawing on an empirical research project, this paper contrasts the basic ideas of this reform with insights into the concrete practice of the new governance structure. The results show that board members’ personal factors such as personality, experience, and their attitude towards the multi‐faceted nature of university governance, strongly influence the boards’ identity formation and actual work. It is concluded that such factors must be regarded when implementing governing boards in universities by means of university reform.     

Predicting biathlon shooting performance using machine learning

Shooting in biathlon competitions substantially influences final rankings, but the predictability of hits and misses is unknown. The aims of the current study were A) to explore factors influencing biathlon shooting performance and B) to predict future hits and misses. We explored data from 118,300 shots from 4 seasons and trained various machine learning models before predicting 34,340 future shots (in the subsequent season). A) Lower hit rates were discovered in the sprint and pursuit disciplines compared to individual and mass start (P < 0.01, h = 0.14), in standing compared to prone shooting (P < 0.01, h = 0.15) and in the 1^st prone and 5^th standing shot (P < 0.01, h = 0.08 and P < 0.05, h = 0.05). B) A tree-based boosting model predicted future shots with an area under the ROC curve of 0.62, 95% CI [0.60, 0.63], slightly outperforming a simple logistic regression model and an artificial neural network (P < 0.01). The dominant predictor was an athlete’s preceding mode-specific hit rate, but a high degree of randomness persisted, which complex models could not substantially reduce. Athletes should focus on overall mode-specific hit rates which epitomise shooting skill, while other influences seem minor.     

Calculating the Weather: Deductive Reasoning and Disciplinary Telos in Cleveland Abbe's Rhetorical Transformation of Meteorology

This paper explores the rhetorical basis of a major paradigm change in meteorology, from a focus on inductive observation to deductive, mathematical reasoning. Analysis of Cleveland Abbe's “The Physical Basis of Long-Range Weather Forecasts” demonstrates how in his advocacy for a new paradigm, Abbe navigates the tension between piety to tradition and dissent necessary for innovation through the rhetorical imagination of and appeal to a disciplinary telos. This strategy allows him to dismiss the traditions of meteorology while simultaneously creating common ground between a new paradigm and an audience of contemporary scientists whose traditions he rejects.