scholarly journals Enregistered spellings in interaction

2021 ◽  
Vol 40 (3) ◽  
pp. 297-323
Author(s):  
Florian Busch
Keyword(s):  
Text Messaging ◽  
Methodological Approach ◽  
Writing Systems ◽  
Digital Writing ◽  
Data Set ◽  
Social Actors ◽  
Research Fields ◽  
Communicative Practice ◽  
Spelling Variation ◽  
The One

Abstract Against the backdrop of the societal differentiation of literacy, the paper investigates spelling variation in digital written communication beyond the binary paradigm of standard and nonstandard. To this end, the paper proposes a formal classification of digital spelling variants and then focuses on the socio-communicative functions of these variants in usage. Theoretically grounded in the notions of register and social indexicality, the paper discusses how spelling variants are metapragmatically ordered by social actors and deployed in text-messaging interactions in order to indicate interpretive context. To investigate these phenomena holistically, the paper furthermore presents a tripartite research framework that addresses digital writing regarding its I) structural variants, II) communicative practice, and III) reflexive awareness. Afterwards, this methodological approach is applied empirically. This is done based on a data set that includes samples of everyday literacy by 23 German adolescents: informal WhatsApp texting, on the one hand, formal school essays on the other. The exemplary analyses focus on phonostylistic spellings (e. g. elisions such as <ich hab> instead of <ich habe>) and graphostylistic spellings (e. g. graphemic substitutions such as <daß> instead of <dass>) in these WhatsApp interactions, reconstructing the metapragmatic status of standard orthography in digital writing. By combining structure-oriented, interactional, and ethnographic perspectives, the paper seeks a disciplinary dialogue by relating concepts of sociolinguistics and linguistic anthropology not only to research fields of media linguistics but also to research on writing systems.

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

Intuitionistic fuzzy two-factor variance analysis of movie ticket sales

2021 ◽  
pp. 1-11
Author(s):  
Velichka Traneva ◽  
Stoyan Tranev
Keyword(s):  
Comparative Analysis ◽  
Real Data ◽  
Intuitionistic Fuzzy Sets ◽  
Real Numbers ◽  
Data Set ◽  
Important Method ◽  
Ticket Sales ◽  
Intuitionistic Fuzzy ◽  
The One ◽  
First Time

Analysis of variance (ANOVA) is an important method in data analysis, which was developed by Fisher. There are situations when there is impreciseness in data In order to analyze such data, the aim of this paper is to introduce for the first time an intuitionistic fuzzy two-factor ANOVA (2-D IFANOVA) without replication as an extension of the classical ANOVA and the one-way IFANOVA for a case where the data are intuitionistic fuzzy rather than real numbers. The proposed approach employs the apparatus of intuitionistic fuzzy sets (IFSs) and index matrices (IMs). The paper also analyzes a unique set of data on daily ticket sales for a year in a multiplex of Cinema City Bulgaria, part of Cineworld PLC Group, applying the two-factor ANOVA and the proposed 2-D IFANOVA to study the influence of “ season ” and “ ticket price ” factors. A comparative analysis of the results, obtained after the application of ANOVA and 2-D IFANOVA over the real data set, is also presented.

scholarly journals Extreme geomagnetic activities: a statistical study

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Ryuho Kataoka
Keyword(s):  
Magnetic Storms ◽  
Magnetic Observatory ◽  
Statistical Distributions ◽  
Limited Data ◽  
Data Set ◽  
Sudden Commencements ◽  
The One ◽  
Log Normal ◽  
Geomagnetic Activities ◽  
Log Normal Distribution

Abstract Statistical distributions are investigated for magnetic storms, sudden commencements (SCs), and substorms to identify the possible amplitude of the one in 100-year and 1000-year events from a limited data set of less than 100 years. The lists of magnetic storms and SCs are provided from Kakioka Magnetic Observatory, while the lists of substorms are obtained from SuperMAG. It is found that majorities of events essentially follow the log-normal distribution, as expected from the random output from a complex system. However, it is uncertain that large-amplitude events follow the same log-normal distributions, and rather follow the power-law distributions. Based on the statistical distributions, the probable amplitudes of the 100-year (1000-year) events can be estimated for magnetic storms, SCs, and substorms as approximately 750 nT (1100 nT), 230 nT (450 nT), and 5000 nT (6200 nT), respectively. The possible origin to cause the statistical distributions is also discussed, consulting the other space weather phenomena such as solar flares, coronal mass ejections, and solar energetic particles.

In search of the perfect orthography

2005 ◽  
Vol 7 (2) ◽  
pp. 139-163 ◽  
Author(s):  
Richard L. Venezky
Keyword(s):  
Writing System ◽  
Writing Systems ◽  
International Phonetic Alphabet ◽  
Experienced Reader ◽  
Cultural Considerations ◽  
Advanced Stages ◽  
One To One ◽  
The One ◽  
Psychological Processing ◽  
The Ideal

Philologists, linguists, and educators have insisted for several centuries that the ideal orthography has a one-to-one correspondence between grapheme and phoneme. Others, however, have suggested deviations for such functions as distinguishing homophones, displaying popular alternative spellings, and retaining morpheme identity. If, indeed, the one-to-one ideal were accepted, the International Phonetic Alphabet should become the orthographic standard for all enlightened nations, yet the failure of even a single country to adopt it for practical writing suggests that other factors besides phonology are considered important for a writing system. Whatever the ideal orthography might be, the practical writing systems adopted upon this earth reflect linguistic, psychological, and cultural considerations. Knowingly or unknowingly, countries have adopted orthographies that favour either the early stages of learning to read or the advanced stages, that is, the experienced reader. The more a system tends towards a one-to-one relationship between graphemes and phonemes, the more it assists the new reader and the non-speaker of the language while the more it marks etymology and morphology, the more it favours the experienced reader. The study of psychological processing in reading demonstrates that human capacities for processing print are so powerful that complex patterns and irregularities pose only a small challenge. Orthographic regularity is extracted from lexical input and used to recognise words during reading. To understand how such a system develops, researchers should draw on the general mechanisms of perceptual learning.

Inside Trending Topic Algorithm: How Do Human Interactions Drive Public Opinion in an Artificial Environment

2021 ◽  
pp. 089443932110415
Author(s):  
Vanessa Russo ◽  
Emiliano del Gobbo
Keyword(s):  
Public Opinion ◽  
Semantic Network ◽  
Opinion Leader ◽  
Computational Techniques ◽  
Data Sets ◽  
Process Data ◽  
Data Set ◽  
Social Actors ◽  
Human Interactions ◽  
Artificial Environment

The object of this research is to exploit the algorithm of Twitter’s trending topic (TT) and identify the elements capable of guiding public opinion in the Italian panorama. The underlying hypotheses that guide the whole article, confirmed by the research results, concern the existence of (a) a limited number of elements at the base of each popular hashtag with very high viral power and (b) hashtags transversal to the themes detected by the Twitter algorithm that define specific opinion polls. Through computational techniques, it was possible to extract and process data sets from six specific hashtags highlighted by TT. In a first step through social network analysis, we analyzed the hashtag semantic network to identify the hashtags transversal to the six TTs. Subsequently, we selected for each data set the contents with high sharing power and created a “potential opinion leader” index to identify users with influencer characteristics. Finally, a cross section of social actors able to guide public opinion in the Twittersphere emerged from the intersection between potentially influential users and the viral contents.

Breaking the Transitional Justice Machine: Exploring Spatiality, Space Travel, and Inbetween Spaces in Research Practice

2021 ◽  
Vol 2 (1) ◽  
pp. 155-178
Author(s):  
Arnaud Kurze ◽  
Christopher K. Lamont
Keyword(s):  
Transitional Justice ◽  
Methodological Approach ◽  
Power Relationships ◽  
Research Practice ◽  
Critical Perspective ◽  
Social Actors ◽  
Liberal Democratic ◽  
Post Conflict ◽  
Alternative Spaces ◽  
Justice Studies

Abstract This article offers a critical perspective on emerging and alternative spaces for emancipation within transitional justice studies. Taking into account recent critical literature and postcolonial interventions in transitional justice studies, we argue that barriers to moving our understanding of transitional justice forward are both conceptual and methodological. Conceptual hurdles are visible through narrow justice demands often limited to the context of post-conflict and post-authoritarian settings, thus normalizing injustice in liberal democratic and postcolonial contexts. Methodological impediments exist because transitional justice scholarship operates at a positivist level, or trying to explain certain, and desired, outcomes rather than destabilizing and unsettling unequal power relations. As a result, research practice in the field reflects the perspectives and preferences of elites in transition societies through a legal-technical mechanistic imagining of transitional justice that we refer to as the transitional justice machine. We argue that the needs and voices of marginalized social actors, particularly within states that are largely defined as liberal democratic or postcolonial, have long been ignored due to these practices. Against the backdrop of evolving agency patterns, including widespread global protest and demands to deal with the past across countries, we zoom in on a variety of actors who, until now, have not been at the focus of transitional justice studies. Drawing on a variety of case studies, this article contributes to the critical understanding of transitional justice studies as a Bourdieusian field. First, by expanding the conceptual lens to include racial, socio-economic, and postcolonial injustice, and, second, by advancing a more critical methodological approach that puts at its center unequal power relationships.

scholarly journals Farm Gate Prices for Non-Varietal Wine in Argentina: A Multilevel Comparison of the Prices Paid by Cooperatives and Investor-Oriented Firms

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Agustina Malvido Perez Carletti ◽  
Markus Hanisch ◽  
Jens Rommel ◽  
Murray Fulton
Keyword(s):  
Multilevel Regression ◽  
Data Set ◽  
Unique Data ◽  
Market Shares ◽  
Price Effects ◽  
Theoretical Predictions ◽  
The One ◽  
The Cost ◽  
Price Differences ◽  
Multilevel Regression Model

AbstractIn this paper, we use a unique data set of the prices paid to farmers in Argentina for grapes to examine the prices paid by non-varietal wine processing cooperatives and investor-oriented firms (IOFs). Motivated by contrasting theoretical predictions of cooperative price effects generated by the yardstick of competition and property rights theories, we apply a multilevel regression model to identify price differences at the transaction level and the departmental level. On average, farmers selling to cooperatives receive a 3.4 % lower price than farmers selling to IOFs. However, we find cooperatives pay approximately 2.4 % more in departments where cooperatives have larger market shares. We suggest that the inability of cooperatives to pay a price equal to or greater than the one paid by IOFs can be explained by the market structure for non-varietal wine in Argentina. Specifically, there is evidence that cooperative members differ from other farmers in terms of size, assets and the cost of accessing the market. We conclude that the analysis of cooperative pricing cannot solely focus on the price differential between cooperatives and IOFs, but instead must consider other factors that are important to the members.

How Price Dispersion Changes When Upgrades Are Introduced: Theory and Empirical Evidence from the Airline Industry

2019 ◽  
Vol 65 (8) ◽  
pp. 3835-3852 ◽  
Author(s):  
Yao Cui ◽  
A. Yeşim Orhun ◽  
Izak Duenyas
Keyword(s):  
Operations Management ◽  
Airline Industry ◽  
Price Dispersion ◽  
Consumer Welfare ◽  
Data Set ◽  
Differentiation Strategy ◽  
Valuation Effect ◽  
Price Distribution ◽  
The One ◽  
The Impact

This paper studies the effect of introducing a new vertical differentiation strategy, paying for an upgrade to a premium product after purchasing the base product, on the price dispersion of the base product arising from existing price discrimination strategies. In particular, we examine how a major U.S. airline’s price dispersion in the coach cabin changes after introducing the option to upgrade to a new type of premium economy seating within the coach cabin. We first provide a theoretical analysis that highlights two competing pressures that the new premium economy seating upgrades created on coach class prices. On the one hand, the airline benefits from lowering its prices because by allowing more customers to purchase in the first place, it increases the probability of selling upgrades (admission effect). On the other hand, for some customers, the value of flying with the airline increases because of the upgrade availability, therefore the airline may find it optimal to increase its prices (valuation effect). In the second part of the paper, we conduct an empirical investigation of the impact of upgrade introduction on coach class prices, based on a proprietary transaction-level data set from a major U.S. airline company. The empirical analysis tests the main predictions of our theoretical model and examines further nuances. The results show that the introduction of the premium economy seating upgrades is associated with an increase in the price dispersion and revenues in the coach class, the admission effect is stronger than the valuation effect on the low end of the price distribution, and the opposite is true on the high end of the price distribution. Finally, we discuss implications of our results for firm revenues and consumer welfare. This paper was accepted by Serguei Netessine, operations management.

scholarly journals Nurses and care delivery to elderly women: a social phenomenological approach

2012 ◽  
Vol 20 (5) ◽  
pp. 888-895 ◽  
Author(s):  
Sebastião Caldeira ◽  
Miriam Aparecida Barbosa Merighi ◽  
Luz Angelica Muñoz ◽  
Maria Cristina Pinto de Jesus ◽  
Selisvane Ribeiro da Fonseca Domingos ◽  
...  
Keyword(s):  
Professional Training ◽  
Phenomenological Study ◽  
Elderly Women ◽  
Care Delivery ◽  
Methodological Approach ◽  
The Elderly ◽  
Phenomenological Approach ◽  
Care Needs ◽  
Social Actors ◽  
Action Strategies

OBJECTIVE: To understand how nurses see care delivery to elderly women. METHODS: In this phenomenological study, ten nurses working at Primary Health Care Units were interviewed between September 2010 and January 2011. RESULTS: In care delivery, nurses consider the elderly women's knowledge background and biographical situation, and also value the family's participation as a care mediator. These professionals have the acuity to capture these women's specific demands, but face difficulties to deliver care to these clients. Nurses expect to deliver qualified care to these women. CONCLUSION: The theoretical and methodological approach of social phenomenology permitted revealing that the nurse designs qualified care to elderly women, considering the possibilities in the context. This includes the participation of different social actors and health sectors, assuming collective efforts in action strategies and professional training, in line with the particularities and care needs of elderly women nurses identify.

Man, Institutions and Bioeconomics

2003 ◽  
Vol 14 (4) ◽  
pp. 339-355
Author(s):  
Javier Alfonso Gil
Keyword(s):  
Methodological Approach ◽  
Natural Habitat ◽  
Social Technology ◽  
Activity System ◽  
Material Technology ◽  
Political Market ◽  
System A ◽  
Biological Capacity ◽  
Growth Of Knowledge ◽  
The One

Because bioeconomics is born of the interaction between the biological activity system and its socio-economic activity system, a holistic methodological approach is essential to study the relations between them. However, it must search for increasing levels of reductionism within each discipline to delve into the ultimate nature of each one of the intervening forces, whether economic or biological. This paper explores the economic forces. Through the biological capacity to comprehend, man and by extension, society, accumulates knowledge, the fulcrum from which he is able to dominate over his natural habitat. From this ‘point d’appui’, man builds two basic tools to assist him in achieving the goal of bettering his social condition. On the one hand, he creates institutions that allow him to “live with others” and, on the other, he develops technology that helps him to “live better with others”. Institutions, also referred to as ‘social technology’, tend toward stability over time while technology or ‘material technology’, tends toward instability, which would suggest that, normally, the mechanics of change will originate in material technology and, from there, progress to social technology by way of the political market. The level of progress and development attained depends on the quantity and rate of growth of knowledge applied by a society. In the process, man and his collectivity are forced to adopt new views of their environment through new shared mental models. The concurrence of equipment and political market will ultimately become the prime mover of institutional and economic change as well as change in mentality. Both technologies must keep on an adaptive course of stable evolution since discrepancies arising between them can cause tension between the various social groups. Adequate management of technological shock is essential to avoid extreme situations of social conflict. Herein lie the most important political decisions that a government must confront over the long term.

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