1,720,997 research outputs found
Dataset for: Two types of between-task conflict trigger respective processing adjustments within one dual-task
Dataset for Mahesan, D., Janczyk, M.. & Fischer, R. (accepted/in press). Two types of between-task conflict trigger respective processing adjustments within one dual-task. Acta Psychologica.Parts of the manuscript were funded and supported by the German Research Foundation (DFG FI 1624/5-1 to RF; JA 2307/6-1 to MJ)peerReviewe
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
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
The role of modal and amodal representations in action planning
In the context of the Theory of Event Coding (TEC), researchers found evidence for and against abstraction in the sense of generalization in response-effect (R-E) learning. Against the background of the research unit FOR2718, concerned with the overarching topic of modal and amodal cognition, the present work set out to test with a series of experiments whether abstraction can be found in R-E learning experiments 1. in the sense of generalization from exemplars to the corresponding categories (Experiment 1), 2. in the sense of an abstract representation of spatial concepts (Experiment 2), and 3. in the sense of generalization from a picture to the corresponding semantic meaning (Experiment 3). No signs of generalization were found in Experiments 1 and 2, whereas the effect obtained in Experiment 3 could also have occurred because of phonological recoding and thus be confounded. Kernel density plots calculated for Experiment 1 - 3 show a bimodal distribution in all respective control groups. Considering recent literature (Sun et al., 2020), this could point to a propositional nature of the learned knowledge rather than to automatically acquired knowledge as commonly assumed by research in context of TEC. Considering the latter, numerous studies on R-E learning report rather small effect sizes. Experiment 4 was designed to see, if the average effect size can be increased by turning the action effects task-relevant during the acquisition phase task. The results show that this is indeed the case, and the kernel density plot shows that the distribution remains bimodal even with larger effects
Dispelling the Myths Behind First-author Citation Counts
We 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
How categories master variability: Insights into category learning and generalization
Variability permeates every aspect of our environment and categories help us navigate this variability. This thesis presents three projects that leverage variability to deepen our understanding of category learning and generalization.
Project 1 investigates how different types of variability, learned in a prior relationally structured category learning task, affect later category generalization. The findings show that categories experienced as more diverse lead to broader generalization than homogeneous ones. Specifically, generalization widens when category exemplars exhibit heterogeneity, but not when participants encounter many different exemplars within a diverse category.
In Project 2, I use variability to explore category learning processes, focusing on how the immediate context of a category—specifically its counter-category—shapes learning. By manipulating category variability in a newly developed self-regulated category learning task, I show that greater variability prompts participants to draw more samples until their category representation suffices. Interestingly, not only the category's variability but also the variability of the counter-category influences the number of samples drawn.
In Project 3, I explore how category learning in the self-regulated task can be modeled within the sequential sampling framework. Our findings suggest that category variability determines the accumulation rate, while the counter-category influences the decision to stop sampling exemplars. Within this framework, I examine variability perception and the shape of the accumulation rate. I also model how between-category processes impact learning, finding that learning assimilates to the counter-category’s characteristics.
In summary, this thesis provides new insights into how category variability shapes generalization, influences the category learning process, and highlights the intricate link between a category and its counter-category
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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