1,720,976 research outputs found
Communities of Scholars and Mixed Methods Research: Relationships Among Fields and Researchers
In diesem Beitrag untersuche ich die Produktion und Verbreitung von Wissen innerhalb einer spezifischen wissenschaftlichen Gemeinschaft in einem frühen Stadium ihrer Entwicklung und Institutionalisierung: der Gruppe der sich selbst bewusst als Mixed-Methods-Forscher*innen identifizierenden Wissenschaftler*innen. Dabei lege ich den Schwerpunkt auf Zitationen innerhalb dieser Gruppe und gehe davon aus, dass das Zitierverhalten im Zusammenhang mit der Absicht von Forschenden steht, nicht nur ihre Arbeit sachlich innerhalb eines Forschungsfeldes zu positionieren, sondern auch sich selbst innerhalb der sozialen Gemeinschaft der Forscher*innen. Zur Analyse der relevanten Felder sowie der Struktur der Wissensgemeinschaft hinsichtlich ihrer Zitationspraxis nutze ich Methoden der Zitationsanalyse (Citation Network Analysis). Mittels Identifikation der Sub-Gemeinschaften und der einflussreichsten Autor*innen innerhalb des Netzwerks lassen sich die wichtigsten Gegenstandsbereiche und methodologischen Felder bestimmen, in denen Mixed Methods erwähnt werden. Abschließend diskutiere ich die Implikationen dieser Netzwerkstruktur im Hinblick auf Macht- und Hegemonieverhältnisse. Dies beinhaltet auch die Funktion von Autor*innen innerhalb des Netzwerks, die marginal erscheinen, für die Zitationspraktiken jedoch insofern von Bedeutung sind, als sie eine Brückenfunktion zwischen den verschiedenen Sub-Gemeinschaften erfüllen.In this paper I explore processes of knowledge production and circulation within a specific research community: the self-identified community of mixed methods scholars—i.e., the group of researchers adopting a mixed methods approach and using the label mixed methods—during the phase of its emergence and institutionalization. I focus on citations within this community, considering that the act of citing is linked to the intention of scholars to position their work not only within a research area but also within a community contributing to that specific area. I employed strategies from citation network analysis (CNA) to understand the fields involved, as well as the structure of the community in relation to citation practices. I identified the most common subjects and methodological fields in which mixed methods are mentioned by isolating sub-communities and the most influential authors in the network. I discuss the implications of this network structure with regard to power relations and hegemony. This also includes the function of nodes which appear to be marginal, but are relevant in citation practices since these authors play a bridging role across the various sub-communities
From words to categories: data quality and the methodological value of open-ended questions in classifying economic activities
This study aims to critically discuss the data quality and practical utility of open-ended questions for classifying organisational economic activities in survey research. The research addresses two primary questions. First, it examines whether the length of responses to open-ended questions about the economic activities of organisations is associated with the semantic quality and richness of the information provided. Specifically, it investigates whether longer responses can be considered a meaningful indicator of the overall quality and informativeness of the data collected. Manual coding was used to derive a dichotomous variable representing response quality. Second, the study makes use of Structural Topic Modeling (STM) to analyse whether the length of responses varies systematically across different sectors of economic activities. The main findings indicate that the length of open-ended responses is not always correlated with high semantic quality. Both manual coding and STM analysis reveal that complex organisational activities tend to generate longer answers to provide better descriptions, while simpler ones can be limited in terms of characters. The study contributes to survey methodology, showing how open-ended questions are effectively able to capture nuanced organisational practices without raising respondent’s burden, thus enriching the precision and flexibility of economic classification. A key practical implication of these findings is that it could be effective to impose a relatively low word limit on open-ended questions about organisational activities, without impacting significantly the response quality
Reinforcement Learning for Simplified Training in Fingerprinting Radio Localization
In this paper, we assess the problem of radio localization based on fingerprinting. Although fingerprinting can provide precise localization in complex propagation environments, its drawback is the complexity of building the fingerprinting map. This map associates each location inside an area to a vector of Received Signal Strength (RSS) observations. This paper aims to answer the question: can we reduce the number of measurements to build a fingerprinting map for radio localization? To answer this question, we propose a new method based on sampling the environment intelligently. The method combines Deep Learning (DL) and Deep Reinforcement Learning (DRL) techniques. Reinforcement learning allows us to find an optimal path to perform measurements in relevant areas under the constraint of a given route length the agent can walk. Training a neural network with the measured RSSs along that path provides high localization accuracy. Numerical results on a real data set show that the approach offers high localization accuracy despite lowering the distance covered to acquire data to train the neural network-based fingerprinting map
Allargare lo sguardo: il benessere dei genitori prematuri nella letteratura internazionale
La produzione lorda vendibile dell'agricoltura e della silvicoltura in provincia di Trento nel 2002
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
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