Four planes of social being: more connections

2021 ◽  
pp. 127-144
Author(s):  
Priscilla Alderson

Adverse mortality and morbidity effects of the huge oil spills in Bayelsa State, Niger Delta, illustrate the value of critical realism’s four planes of social being for organising complex findings and for combining large- and small-scale data sets. These planes cover every aspect of being human: bodies in relation to nature; interpersonal relations; larger social relations and structures; and inner human being in the mental-social-embodied personality. Chapter 5 also considers critical realist approaches to managing data-analysis: laminated systems analysis; interdisciplinary research and policy-making; critical realist theories about interdisciplinarity; overcoming barriers to interdisciplinarity, and interdisciplinary commitments. The detailed examples are about improving the physical health of people with a diagnosis of serious mental illness, and feminist-informed counselling after sexual assault.

2020 ◽  
Vol 1 (4) ◽  
pp. 1493-1509
Author(s):  
Christian Zingg ◽  
Vahan Nanumyan ◽  
Frank Schweitzer

To what extent is the citation rate of new papers influenced by the past social relations of their authors? To answer this question, we present a data-driven analysis of nine different physics journals. Our analysis is based on a two-layer network representation constructed from two large-scale data sets, INSPIREHEP and APS. The social layer contains authors as nodes and coauthorship relations as links. This allows us to quantify the social relations of each author, prior to the publication of a new paper. The publication layer contains papers as nodes and citations between papers as links. This layer allows us to quantify scientific attention as measured by the change of the citation rate over time. We particularly study how this change correlates with the social relations of their authors, prior to publication. We find that on average the maximum value of the citation rate is reached sooner for authors who have either published more papers or who have had more coauthors in previous papers. We also find that for these authors the decay in the citation rate is faster, meaning that their papers are forgotten sooner.


2021 ◽  
Vol 37 (3) ◽  
pp. 481-490
Author(s):  
Chenyong Song ◽  
Dongwei Wang ◽  
Haoran Bai ◽  
Weihao Sun

HighlightsThe proposed data enhancement method can be used for small-scale data sets with rich sample image features.The accuracy of the new model reaches 98.5%, which is better than the traditional CNN method.Abstract: GoogLeNet offers far better performance in identifying apple disease compared to traditional methods. However, the complexity of GoogLeNet is relatively high. For small volumes of data, GoogLeNet does not achieve the same performance as it does with large-scale data. We propose a new apple disease identification model using GoogLeNet’s inception module. The model adopts a variety of methods to optimize its generalization ability. First, geometric transformation and image modification of data enhancement methods (including rotation, scaling, noise interference, random elimination, color space enhancement) and random probability and appropriate combination of strategies are used to amplify the data set. Second, we employ a deep convolution generative adversarial network (DCGAN) to enhance the richness of generated images by increasing the diversity of the noise distribution of the generator. Finally, we optimize the GoogLeNet model structure to reduce model complexity and model parameters, making it more suitable for identifying apple tree diseases. The experimental results show that our approach quickly detects and classifies apple diseases including rust, spotted leaf disease, and anthrax. It outperforms the original GoogLeNet in recognition accuracy and model size, with identification accuracy reaching 98.5%, making it a feasible method for apple disease classification. Keywords: Apple disease identification, Data enhancement, DCGAN, GoogLeNet.


2007 ◽  
Vol 37 (1) ◽  
pp. 119-149 ◽  
Author(s):  
Nora Broege ◽  
Ann Owens ◽  
Anthony P. Graesch ◽  
Jeanne E. Arnold ◽  
Barbara Schneider

Two studies of working families are combined to demonstrate a strategy for producing reliable estimates from the combination of self-reported (large N) and observational (small N) data. Both studies examine where and how dual-career families spend time at home. The 500 Family Study is sociological and uses self-reported time diary data from a national sample; the CELF study is anthropological and uses observational scan sampling data from a regional sample of 32 families. The data are combined as if they constitute one sample, and an analytic solution for establishing the reliability of the resulting composite estimates of time use is provided. Merging the data sets provides validation for each study, neither of which is without potential methodological weaknesses. The advantages of combining data from the independent data collection methods are discussed, and selected substantive findings on families' activities are highlighted, illustrating similarities and differences between findings in the independent and combined data sets. Results show that working families spend significant time in a small spectrum of home spaces, particularly kitchens and living rooms, with leisure activities prevailing, but mothers, fathers, and children differ in where and how they spend their time. Overall, a template for merging data from different disciplines and methods is provided.


2020 ◽  
pp. 1-11
Author(s):  
Jingwen Hou

At present, online education evaluation models are insufficient when dealing with small-scale evaluation data sets. In order to discriminate the learner’s learning state, this paper further studies online teaching machine learning methods, and introduces adaptive learning rate and momentum terms to improve the gradient descent method of BP neural network to improve the convergence rate of the model. Moreover, this study proposes a deep neural network model to deal with complex high-dimensional large-scale data set problems. In the process of supervised prediction, this study uses support vector regression as a predictor for supervised prediction, and this study maps complex non-linear relationships into high-dimensional space to achieve a linear relationship similar to low-dimensional space. In addition, in this study, small-scale teaching quality evaluation data sets and large-scale data sets are input into the model to perform experiments. Finally, the model proposed in this study is compared with other shallow models. The results show that the model proposed in this research is effective and advantageous in evaluating teaching quality in universities and processing large-scale data sets.


2012 ◽  
Vol 37 (4) ◽  
pp. 143-148 ◽  
Author(s):  
Lina Papšienė ◽  
Kęstutis Papšys

Small-scale spatial data are widely used at regional and national levels not only for mapping but also for the purposes of planning, forecasting, etc. Therefore, a professional preparation of such data is necessary. The generalization of large or medium scale spatial data is the most efficient process to produce and update smaller-scale data. Certainly, a simple transfer of information is almost never suitable to satisfy requirements for small-scale maps. Additional transformations (generalization) are necessary. Spatial information complexity may be significantly reduced in terms of the number of objects, geometry, etc. However, the main spatial, non-spatial and topological characteristics of the objects have to be preserved. The process of reduction is irreversible, and therefore it is necessary at first to clearly define requirements for spatial data (for example, the density of spatial objects, the minimal allowed area, the width and length of an object, a minimum length of the edge of an object, spatial links between the objects). The above imposed requirements provide a possibility of defining procedures for generalization and a conceptual model between particular data sets. Santrauka Regioniniu ir valstybiniu lygmeniu smulkiojo mastelio erdvinai duomenys plačiai naudojami ne tik rengiant žemelapius, bet ir vertinant aplinkos sąlygas atliekant planavimą, prognozavimą ir kt. Taigi šie erdviniai duomenys turi būti parengti profesionaliai. Stambiojo ir vidutinio mastelio erdvinių duomenų kartografinis apibendrinimas yra efektyviausias procesas kuriant ir atnaujinant smulkesnio mastelio erdvinius duomenis. Kadangi atliekant elementarųjį informacijos perkelimą gaunami erdviniai duomenys dažnai neatitinka smulkiojo mastelio žemelapiams keliamų reikalavimų, būtinos papildomos transformacijos. Erdvinė informacija kartografinio apibendrinimo procese gali būti žymiai supaprastinta mažinant objektų, supaprastinant jų geometriją ir pan., tačiau vis dėlto išlaikant pagrindines objektų erdvines, neerdvines ir topologines charakteristikas. Kadangi toks apibendrinimo procesas negrįžtamas, pirmiausia būtina aiškiai nustatyti, kokius reikalavimus turi atitikti smulkiojo mastelio erdviniai duomenys (pavyzdžiui, erdvinių objektų tankumas, mažiausias leidžiamasis objekto plotas, plotis ir ilgis, mažiausias objekto kraštines ilgis, erdviniai objektų ryšiai). Numačius šiuos reikalavimus, galima aprašyti procedūras ir sudaryti koncepcinį modelį konkrečiam erdviniam duomenų rinkiniui apibendrinti. Резюме Мелкомасштабные пространственные данные широко используются на региональном и национальном уровне не только для отображения, но и для оценки состояния окружающей среды в целях планирования, прогнозирования и т. д. Поэтому такие данные должны быть подготовлены профессионально. Генерализация пространственных данных крупного или среднего масштаба является наиболее эффективным процессом для получения и обновления данных меньшего масштаба. Безусловно, элементарная передача информации зачастую не удовлетворяет требований мелкомасштабных карт. Необходимы дополнительные трансформации (генерализация). В процессе генерализации сложность пространственной информации может быть значительно уменьшена благодаря уменьшению количества объектов, упрощению геометрии и т. д. Однако основные пространственные, непространственные и топологические характеристики объекта должны быть сохранены. Процесс генерализации необратим, поэтому вначале необходимо четко определить требования, предъявляемые к пространственным данным (например, плотность объектов, минимально допустимая площадь, ширина и длина объекта, минимальная длина стороны объекта, пространственные связи между объектами). С учетом этих требований можно определить процедуры генерализации и концептуальную модель для конкретного набора данных.


2019 ◽  
Vol 61 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Loretta Lees

Abstract Gentrification is no-longer, if it ever was, a small scale process of urban transformation. Gentrification globally is more often practised as large scale urban redevelopment. It is state-led or state-induced. The results are clear – the displacement and disenfranchisement of low income groups in favour of wealthier in-movers. So, why has gentrification come to dominate policy making worldwide and what can be done about it?


2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Bùi Thị Bích Lan

In Vietnam, the construction of hydropower projects has contributed significantly in the cause of industrialization and modernization of the country. The place where hydropower projects are built is mostly inhabited by ethnic minorities - communities that rely primarily on land, a very important source of livelihood security. In the context of the lack of common productive land in resettlement areas, the orientation for agricultural production is to promote indigenous knowledge combined with increasing scientific and technical application; shifting from small-scale production practices to large-scale commodity production. However, the research results of this article show that many obstacles in the transition process are being posed such as limitations on natural resources, traditional production thinking or the suitability and effectiveness of scientific - technical application models. When agricultural production does not ensure food security, a number of implications for people’s lives are increasingly evident, such as poverty, preserving cultural identity, social relations and resource protection. Since then, it has set the role of the State in researching and building appropriate agricultural production models to exploit local strengths and ensure sustainability.


2021 ◽  
Vol 124 (1) ◽  
pp. 141-162 ◽  
Author(s):  
J.F. Dewey ◽  
E.S. Kiseeva ◽  
J.A. Pearce ◽  
L.J. Robb

Abstract Space probes in our solar system have examined all bodies larger than about 400 km in diameter and shown that Earth is the only silicate planet with extant plate tectonics sensu stricto. Venus and Earth are about the same size at 12 000 km diameter, and close in density at 5 200 and 5 500 kg.m-3 respectively. Venus and Mars are stagnant lid planets; Mars may have had plate tectonics and Venus may have had alternating ca. 0.5 Ga periods of stagnant lid punctuated by short periods of plate turnover. In this paper, we contend that Earth has seen five, distinct, tectonic periods characterized by mainly different rock associations and patterns with rapid transitions between them; the Hadean to ca. 4.0 Ga, the Eo- and Palaeoarchaean to ca. 3.1 Ga, the Neoarchaean to ca. 2.5 Ga, the Proterozoic to ca. 0.8 Ga, and the Neoproterozoic and Phanerozoic. Plate tectonics sensu stricto, as we know it for present-day Earth, was operating during the Neoproterozoic and Phanerozoic, as witnessed by features such as obducted supra-subduction zone ophiolites, blueschists, jadeite, ruby, continental thin sediment sheets, continental shelf, edge, and rise assemblages, collisional sutures, and long strike-slip faults with large displacements. From rock associations and structures, nothing resembling plate tectonics operated prior to ca. 2.5 Ga. Archaean geology is almost wholly dissimilar from Proterozoic-Phanerozoic geology. Most of the Proterozoic operated in a plate tectonic milieu but, during the Archaean, Earth behaved in a non-plate tectonic way and was probably characterised by a stagnant lid with heat-loss by pluming and volcanism, together with diapiric inversion of tonalite-trondjemite-granodiorite (TTG) basement diapirs through sinking keels of greenstone supracrustals, and very minor mobilism. The Palaeoarchaean differed from the Neoarchaean in having a more blobby appearance whereas a crude linearity is typical of the Neoarchaean. The Hadean was probably a dry stagnant lid Earth with the bulk of its water delivered during the late heavy bombardment, when that thin mafic lithosphere was fragmented to sink into the asthenosphere and generate the copious TTG Ancient Grey Gneisses (AGG). During the Archaean, a stagnant unsegmented, lithospheric lid characterised Earth, although a case can be made for some form of mobilism with “block jostling”, rifting, compression and strike-slip faulting on a small scale. We conclude, following Burke and Dewey (1973), that there is no evidence for subduction on a global scale before about 2.5 Ga, although there is geochemical evidence for some form of local recycling of crustal material into the mantle during that period. After 2.5 Ga, linear/curvilinear deformation belts were developed, which “weld” cratons together and palaeomagnetism indicates that large, lateral, relative motions among continents had begun by at least 1.88 Ga. The “boring billion”, from about 1.8 to 0.8 Ga, was a period of two super-continents (Nuna, also known as Columbia, and Rodinia) characterised by substantial magmatism of intraplate type leading to the hypothesis that Earth had reverted to a single plate planet over this period; however, orogens with marginal accretionary tectonics and related magmatism and ore genesis indicate that plate tectonics was still taking place at and beyond the bounds of these supercontinents. The break-up of Rodinia heralded modern plate tectonics from about 0.8 Ga. Our conclusions are based, almost wholly, upon geological data sets, including petrology, ore geology and geochemistry, with minor input from modelling and theory.


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