1,720,955 research outputs found
On the interaction between implicit statistical learning and the alternation advantage: Evidence from manual and oculomotor serial reaction time tasks
Full text linkIn this study, we examine how implicit statistical learning (ISL) interacts with the cognitive bias of the alternation advantage in serial reaction time (SRT) tasks. Our aim was to disentangle perceptual from motor aspects of learning, as well as to shed light on the cognitive sources of this alternation effect. We developed a manual (Study 1) and an oculomotor (Study 2) two-choice SRT task, with visual stimuli following the regularities of two binary artificial grammars (Fibonacci and its modification Skip). While these grammars share some deterministic transitional regularities, they differ in their probabilistic transitional regularities and distributional properties. The pattern of manual RTs in Study 1 provide evidence for ISL, showing that subjects learned the deterministic and probabilistic transitions in the two grammars. We also found a bias toward alternation (vs. repetition) in correspondence to non-deterministic points, regardless of their statistical properties in the grammars. Study 2 provides further evidence for both ISL and the alternation advantage, in terms of shorter manual RTs and higher accuracy rates of anticipatory eye movements. Saccadic responses preceding stimulus onset allow us to argue for the perceptual nature of ISL: participants detected regularities in the string by forming S-S associations based on the sequence of the perceived stimuli. Moreover, we propose that shifts in visuospatial attention preceding oculomotor programming play a role in the occurrence of the alternation advantage, and that such an effect is driven by the spatial location of the stimulus. These findings are also discussed with respect to the presence of two (possibly interacting) parsing strategies: statistical generalizations on the string vs. local hierarchical reconstruction
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Language and perception. Investigating linear and hierarchical implicit statistical learning across the visual, auditory, and tactile sensory domains.
Full text linkThis thesis explored how humans process and form recursive hierarchical structures arising from temporally ordered sequences of stimuli, across the visual, auditory, and tactile sensory domains. As we will explain throughout this thesis, we posit that the ability to form recursive hierarchical abstract representations from temporally ordered stimuli is a cognitive ability involved in human syntax processing and acquisition. Language unfolds in a linear fashion. Words follow one another, creating sentences that, on the surface, appear as linear sequences of sounds or symbols. However, a purely sequential arrangement of words alone falls short in encompassing the complexities of human language syntax. It is evident that the syntax of human languages has a fundamental hierarchical dimension, where constituents are organized in a way that is intricately linked to their linear order. Among the various syntactic phenomena that depend on this hierarchical organization, recursion is one of the most fascinating and controversial in the study of language. Recursion in human syntax, understood as the characteristic of embedding constituents within constituents of the same kind, has long been considered a fundamental and distinctive feature of human language. Therefore, the cognitive ability to deal with recursion has been viewed as crucial for language capacity, possibly representing a uniquely human faculty at the core of language ability. However, this topic is highly controversial. Despite the importance attributed to recursion in linguistics, several questions remain open. What is the role of recursion in human language? Is the ability to handle recursion specifically tied to the human language faculty? What is the mechanism underlying the cognitive ability to form recursive abstract representations in language, considering both the linear and hierarchical nature of syntax? To analyze this topic, this thesis will delve into three critical issues at the core of theoretical and experimental linguistic debates. The first issue addresses the debated role of recursion in human language syntax. The second issue examines the contributions of recursive hierarchical abstract representation and statistical learning to the acquisition and processing of human syntax. The third issue, intimately connected to the second, examines the existence of domain-specific representational and learning constraints, alongside the influence of domain-general learning abilities on this process. Our research had two main objectives: Firstly, we aimed to determine whether sequential statistical learning and the formation of recursive hierarchical abstract representation operate independently as distinct levels of language analysis or if they work together synergistically as complementary learning mechanisms. If they complement each other, we sought to understand the cognitive processes involved in transitioning from linear to recursive hierarchical dimensions. Secondly, we investigated whether the ability to form recursive hierarchical abstract structures from sequential stimuli is a language-specific ability or a domain-general ability, shared across different modalities and whether there are domain-specific differences in this ability between sensory domains. To address these inquiries, we employed the Artificial Grammar Learning paradigm, conducting three Serial Reaction Time tasks. Three distinct groups of adult participants were presented with a sequence of stimuli featuring the rules of a non-canonical binary grammar belonging to the Lindenmayer systems: The Fibonacci grammar (Fib). The choice to use this grammar was driven by its exceptional suitability for thoroughly investigating this research topic in all its various facets. On one hand, it allows for the investigation of the application of recursive algorithms for predicting points in the string, while simultaneously examining the relationship between sequential statistical learning and the creation of recursive hierarchical representations. On the other hand, this paradigm permits the examination and direct comparison of these cognitive abilities across different sensory modalities. In the three tasks, the symbols of Fib were encoded onto auditory tones, vibrotactile impulses, or colorful visual shapes. Through analysis of reaction times and accuracy data in response to perceived stimuli, we explored whether participants implicitly learned the regularities of Fib across all three sensory domains and potentially domain-specific learning differences. Our findings suggested a close linkage between the ability to form recursive hierarchical representations and the capacity to grasp low-level transitional regularities. With this regard, we introduced a cognitive parsing algorithm hypothesizing the cognitive mechanisms involved in transitioning from sequence to hierarchy. Furthermore, we observed that the cognitive ability to process and learn these structures, which underpin human language, is a domain-general ability present across diverse sensory domains. However, we also identified domain-specific differences, with auditory and tactile modalities exhibiting a distinct advantage over the visual domain. In summary, our results indicated that sequential statistical learning and recursive hierarchical abstract representation synergize as complementary modes of learning, rather than operating as distinct levels of language analysis. Moreover, our findings suggest that the capability to from recursive hierarchical abstract structures arising from temporally ordered stimuli is not a language-specific ability but rather a domain-general capacity present across different sensory modalities, potentially interacting with language in specific ways
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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