scholarly journals Uma análise sociológica bernsteniana sobre os usos de materiais curriculares educativos A bernstenian sociological analysis on the uses of curricular educational materials

2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Wagner Ribeiro Aguiar ◽  
Andreia Maria Pereira de Oliveira
Keyword(s):  
Large Scale ◽  
Research Field ◽  
Curriculum Materials ◽  
International Literature ◽  
Sociological Analysis ◽  
Educational Materials ◽  
Educational Curriculum ◽  
Basil Bernstein ◽  
Pedagogic Discourse ◽  
Theoretical Paper

No campo de pesquisa da formação de professores que ensinam Matemática, sobretudo na literatura internacional, há um debate crescente e emergente acerca de materiais curriculares que possam atingir professores em larga escala e, ao mesmo tempo, potencializar sua aprendizagem. Nesse sentido, o presente artigo tem como objetivo apresentar concepções pelas quais pesquisadores conceituam materiais curriculares (educativos). Além disso, pretendemos discutir quatro concepções sobre usos de materiais curriculares educativos sistematizadas por Remillard (2005), bem como indicar limites e expandir esse estudo, apontando uma quinta concepção, a qual denominamos de recontextualizando o texto. Esta concepção baseia-se teoricamente no modelo do discurso pedagógico de Basil Bernstein (1990, 2000), explorado no corpo deste artigo. In the research field of teacher education that teaches Mathematics, especially in the international literature, there is a growing and emerging debate about (educational) curriculum materials that can reach teachers on a large scale and at the same time enhance their learning. This theoretical paper aims to present conceptions by which researchers conceptualize (educational) curriculum materials. In addition, we intend to discuss four conceptions on  the uses of systematic educational curriculum materials in a study by Janine Remillard, as well as to indicate limits and expand this study, pointing out a fifth conception, which we call recontextualising the text. This conception is theoretically based on Basil Bernstein's model of pedagogic discourse.

scholarly journals MENSAGEM PEDAGÓGICA EM TEXTOS DE MATERIAIS CURRICULARES EDUCATIVOS: uma análise a partir da dimensão organizacional

2021 ◽  
pp. 226
Author(s):  
Reinaldo Feio Lima ◽  
Andreia Maria Pereira de Oliveira
Keyword(s):  
Qualitative Approach ◽  
Curriculum Materials ◽  
Pedagogical Practice ◽  
Mathematical Task ◽  
Educational Curriculum ◽  
Modes Of Action ◽  
Basil Bernstein ◽  
Strong Relation

Nosso objetivo é identificar e caracterizar as variações na mensagem pedagógica que ocorrem na dimensão organizacional, no que diz respeito à prática pedagógica escolar representada em textos dos materiais curriculares educativos. O trabalho caracteriza-se por uma abordagem qualitativa, cujos dados foram produzidos por meio de documentos. A principal referência teórico-metodológica utilizada foi a teoria de Basil Bernstein. Em particular, foi utilizado o conceito de classificação, para analisar as relações entre discursos e espaços que são veiculados em textos desses materiais. Os resultados da análise mostraram que, além de motivos explícitos, a mensagem pedagógica em textos dos materiais curriculares educativos quanto à relação entre os espaços dos sujeitos, apresentou um partilhamento na organização e durante a realização da tarefa matemática, uma prática pedagógica escolar regulada por uma forte relação de intradisciplinaridade. Para isso, são empreendidos modos de ações de ensino que favorecem o sequenciamento da tarefa matemática.Palavras-chave: Mensagem pedagógica; Texto; Materiais curriculares educativos.Pedagogical message in texts of educational curriculum  materials: an analysis based on the organizational dimensionAbstractWe aim to identify and characterize the variations in the pedagogical message which occur in the organizational dimension referring to the pedagogical practice represented in texts of educational curriculum materials. The work is characterized by a qualitative approach whose data were produced through documents. The main reference theoretical-methodological used was Basil Bernstein’s theory. In particular, it was used the concept of classification in order to analyze the relations among discourses and spaces that are transmitted in texts of these materials. The results of the analysis demonstrated that beyond explicit reasons, the pedagogical message in texts of educational curriculum materials referring to the subject’s spaces showed a sharing in the organization and during the realization of the mathematical task a school pedagogical practice regulated by a strong relation of intradisciplinarity. For this, modes of action are undertaken that favor the sequencing of the mathematical task.Key words: Pedagogical message; Text; Educational curriculum materials.Mensaje pedagógico en textos de materiales curriculares educativos: un análisis a partir de la dimensión organizacionalResumen Nuestro objetivo es identificar y caracterizar las variaciones en el mensaje pedagógico que ocurren en la dimensión organizacional, en lo que se refiere a la práctica pedagógica escolar representada en textos de los materiales curriculares educativos. El trabajo se caracteriza por un enfoque cualitativo, cuyos datos se han producido a través de documentos. La principal referencia teórico-metodológica utilizada fue la teoría de Basil Bernstein. En particular, se utilizó el concepto de clasificación, para analizar las relaciones entre discursos y espacios que se transmiten en textos de esos materiales. Los resultados del análisis mostraron que, además de motivos explícitos, el mensaje pedagógico en textos de los materiales curriculares educativos en cuanto a la relación entre los espacios de los sujetos, presentó un reparto en la organización y durante la realización de la tarea matemática, una práctica pedagógica escolar regulada por uma fuerte relación de intradisciplinaridad. Para ello, se emprenden modos de acciones de enseñanza que favorecen la secuenciación de la tarea matemática.Palabras clave: Mensaje pedagógico;. Texto; Materiales curriculares educativos.

scholarly journals Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images

2021 ◽  
Vol 13 (16) ◽  
pp. 3065
Author(s):  
Libo Wang ◽  
Rui Li ◽  
Dongzhi Wang ◽  
Chenxi Duan ◽  
Teng Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Texture Features ◽  
Semantic Segmentation ◽  
Autonomous Driving ◽  
Research Field ◽  
Learning Approaches ◽  
Fine Grained ◽  
Urban Scene ◽  
Fine Resolution ◽  
With Memory

Semantic segmentation from very fine resolution (VFR) urban scene images plays a significant role in several application scenarios including autonomous driving, land cover classification, urban planning, etc. However, the tremendous details contained in the VFR image, especially the considerable variations in scale and appearance of objects, severely limit the potential of the existing deep learning approaches. Addressing such issues represents a promising research field in the remote sensing community, which paves the way for scene-level landscape pattern analysis and decision making. In this paper, we propose a Bilateral Awareness Network which contains a dependency path and a texture path to fully capture the long-range relationships and fine-grained details in VFR images. Specifically, the dependency path is conducted based on the ResT, a novel Transformer backbone with memory-efficient multi-head self-attention, while the texture path is built on the stacked convolution operation. In addition, using the linear attention mechanism, a feature aggregation module is designed to effectively fuse the dependency features and texture features. Extensive experiments conducted on the three large-scale urban scene image segmentation datasets, i.e., ISPRS Vaihingen dataset, ISPRS Potsdam dataset, and UAVid dataset, demonstrate the effectiveness of our BANet. Specifically, a 64.6% mIoU is achieved on the UAVid dataset.

Skill assessment of post-processing methods for ECMWF SEAS5 seasonal forecasts over Europe

2021 ◽  
Author(s):  
Alice Crespi ◽  
Marcello Petitta ◽  
Lucas Grigis ◽  
Paola Marson ◽  
Jean-Michel Soubeyroux ◽  
...  
Keyword(s):  
Large Scale ◽  
Production Management ◽  
Spatial Scales ◽  
Research Field ◽  
Skill Assessment ◽  
Post Processing ◽  
Seasonal Forecasts ◽  
Climate Services ◽  
Local Climate ◽  
Climate Conditions

<p>Seasonal forecasts provide information on climate conditions several months ahead and therefore they could represent a valuable support for decision making, warning systems as well as for the optimization of industry and energy sectors. However, forecast systems can be affected by systematic biases and have horizontal resolutions which are typically coarser than the spatial scales of the practical applications. For this reason, the reliability of forecasts needs to be carefully assessed before applying and interpreting them for specific applications. In addition, the use of post-processing approaches is recommended in order to improve the representativeness of the large-scale predictions of regional and local climate conditions. The development and evaluation downscaling and bias-correction procedures aiming at improving the skills of the forecasts and the quality of derived climate services is currently an open research field. In this context, we evaluated the skills of ECMWF SEAS5 forecasts of monthly mean temperature, total precipitation and wind speed over Europe and we assessed the skill improvements of calibrated predictions.</p><p>For the calibration, we combined a bilinear interpolation and a quantile mapping approach to obtain corrected monthly forecasts on a 0.25°x0.25° grid from the original 1°x1° values. The forecasts were corrected against the reference ERA5 reanalysis over the hindcast period 1993–2016. The processed forecasts were compared over the same domain and period with another calibrated set of ECMWF SEAS5 forecasts obtained by the ADAMONT statistical method.</p><p>The skill assessment was performed by means of both deterministic and probabilistic verification metrics evaluated over seasonal forecasted aggregations for the first lead time. Greater skills of the forecast systems in Europe were generally observed in spring and summer, especially for temperature, with a spatial distribution varying with the seasons. The calibration was proved to effectively correct the model biases for all variables, however the metrics not accounting for bias did not show significant improvements in most cases, and in some areas and seasons even small degradations in skills were observed.</p><p>The presented study supported the activities of the H2020 European project SECLI-FIRM on the improvement of the seasonal forecast applicability for energy production, management and assessment.</p>

scholarly journals Corporate reputation

2018 ◽  
Vol 25 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Vanessa Pires ◽  
Guilherme Trez
Keyword(s):  
Organizational Performance ◽  
Corporate Reputation ◽  
Research Field ◽  
Social Implication ◽  
Public Companies ◽  
Content Type ◽  
Theoretical Paper ◽  
The Difference ◽  
And Performance ◽  
The Relationship

Purpose The purpose of this paper is to discuss the different approaches to the corporate reputation construct, in order to identify a comprehensive definition that can be used for measurement purposes, gaps identified by previous literature identified. Design/methodology/approach This is a theoretical essay. The authors analyzed studies that involve the relationship between corporate reputation and organizational performance, and the attributes of national and international corporate reputation ratings. Findings The authors identified a more comprehensive definition for the reputation construct, and indicated courses for the construct’s measurement, by considering: the judgment by the stakeholders (internal, suppliers, clients and the financial market); periodical evaluations under different organizational perspectives; attention to theoretical assumptions, among other aspects. Research limitations/implications The study is a theoretical paper that presents that the research field has many definitions that cannot be used interchangeably. It indicated how the reputation construct should be operationalized for measurement purposes. This study presented a reflection on the relationship between corporate reputation and performance, showing that it is not a settled topic in the academy. Practical implications The study advances the understanding of the reputation construct measurement, considering the adopted definition and the discussion of the attributes of the main ratings on corporate reputation. The adoption of a measurement method that takes into account the definition used in this study and the features of the methodologies discussed will improve the corporate reputation assessment. Social implications Literature indicates that a good corporate reputation can affect organizational performance and the inverse relationship is also true. As a social implication, it is extremely relevant to improve the understanding the definition and measurement methods of this construct. Originality/value This study discusses one of the most important intangible resources for organizations, contributing to the understanding of the difference between the market value and the book value of public companies. Besides it should be considered that there is one lack of a definition directly related to the measurement of the reputation construct in the literature, a gap in which this study contributes.

scholarly journals End-to-End Transition-Based Online Dialogue Disentanglement

2020 ◽  
Author(s):  
Hui Liu ◽  
Zhan Shi ◽  
Jia-Chen Gu ◽  
Quan Liu ◽  
Si Wei ◽  
...  
Keyword(s):  
Large Scale ◽  
Online Algorithm ◽  
Research Field ◽  
Semantic Coherence ◽  
Large Scale Dataset ◽  
End To End ◽  
Sequential Information ◽  
Almost All ◽  
Classification And Clustering ◽  
Sequential Semantics

Dialogue disentanglement aims to separate intermingled messages into detached sessions. The existing research focuses on two-step architectures, in which a model first retrieves the relationships between two messages and then divides the message stream into separate clusters. Almost all existing work puts significant efforts on selecting features for message-pair classification and clustering, while ignoring the semantic coherence within each session. In this paper, we introduce the first end-to- end transition-based model for online dialogue disentanglement. Our model captures the sequential information of each session as the online algorithm proceeds on processing a dialogue. The coherence in a session is hence modeled when messages are sequentially added into their best-matching sessions. Meanwhile, the research field still lacks data for studying end-to-end dialogue disentanglement, so we construct a large-scale dataset by extracting coherent dialogues from online movie scripts. We evaluate our model on both the dataset we developed and the publicly available Ubuntu IRC dataset [Kummerfeld et al., 2019]. The results show that our model significantly outperforms the existing algorithms. Further experiments demonstrate that our model better captures the sequential semantics and obtains more coherent disentangled sessions.

scholarly journals The role of airborne volcanic ash for the surface ocean biogeochemical iron-cycle: a review

2009 ◽  
Vol 6 (4) ◽  
pp. 6441-6489 ◽  
Author(s):  
S. Duggen ◽  
N. Olgun ◽  
P. Croot ◽  
L. Hoffmann ◽  
H. Dietze ◽  
...  
Keyword(s):  
Large Scale ◽  
Volcanic Ash ◽  
Volcanic Eruptions ◽  
Research Field ◽  
Ash Deposition ◽  
Future Directions ◽  
Iron Cycle ◽  
Surface Ocean ◽  
Wide Range

Abstract. Iron is a key micronutrient for phytoplankton growth in the surface ocean. Yet the significance of volcanism for the marine biogeochemical iron-cycle is poorly constrained. Recent studies, however, suggest that offshore deposition of airborne ash from volcanic eruptions is a way to inject significant amounts of bio-available iron into the surface ocean. Volcanic ash may be transported up to several tens of kilometres high into the atmosphere during large-scale eruptions and fine ash may encircle the globe for years, thereby reaching even the remotest and most iron-starved oceanic areas. Scientific ocean drilling demonstrates that volcanic ash layers and dispersed ash particles are frequently found in marine sediments and that therefore volcanic ash deposition and iron-injection into the oceans took place throughout much of the Earth's history. The data from geochemical and biological experiments, natural evidence and satellite techniques now available suggest that volcanic ash is a so far underestimated source for iron in the surface ocean, possibly of similar importance as aeolian dust. Here we summarise the development of and the knowledge in this fairly young research field. The paper covers a wide range of chemical and biological issues and we make recommendations for future directions in these areas. The review paper may thus be helpful to improve our understanding of the role of volcanic ash for the marine biogeochemical iron-cycle, marine primary productivity and the ocean-atmosphere exchange of CO2 and other gases relevant for climate throughout the Earth's history.

Identification of DNA-binding proteins via Hypergraph based Laplacian Support Vector Machine

2021 ◽  
Vol 16 ◽  
Author(s):  
Yuqing Qian ◽  
Hao Meng ◽  
Weizhong Lu ◽  
Zhijun Liao ◽  
Yijie Ding ◽  
...  
Keyword(s):  
Machine Learning ◽  
Dna Binding ◽  
Large Scale ◽  
Binding Proteins ◽  
Predictive Accuracy ◽  
Dna Binding Proteins ◽  
Research Field ◽  
Support Vector ◽  
Data Sets ◽  
Independent Test

Background: The identification of DNA binding proteins (DBP) is an important research field. Experiment-based methods are time-consuming and labor-intensive for detecting DBP. Objective: To solve the problem of large-scale DBP identification, some machine learning methods are proposed. However, these methods have insufficient predictive accuracy. Our aim is to develop a sequence-based machine learning model to predict DBP. Methods: In our study, we extract six types of features (including NMBAC, GE, MCD, PSSM-AB, PSSM-DWT, and PsePSSM) from protein sequences. We use Multiple Kernel Learning based on Hilbert-Schmidt Independence Criterion (MKL-HSIC) to estimate the optimal kernel. Then, we construct a hypergraph model to describe the relationship between labeled and unlabeled samples. Finally, Laplacian Support Vector Machines (LapSVM) is employed to train the predictive model. Our method is tested on PDB186, PDB1075, PDB2272 and PDB14189 data sets. Result: Compared with other methods, our model achieves best results on benchmark data sets. Conclusion: The accuracy of 87.1% and 74.2% are achieved on PDB186 (Independent test of PDB1075) and PDB2272 (Independent test of PDB14189), respectively.

Towards Personal, Social, and Urban Awareness

2014 ◽  
pp. 1-20 ◽  
Author(s):  
Bin Guo ◽  
Yunji Liang ◽  
Zhu Wang ◽  
Zhiwen Yu ◽  
Daqing Zhang ◽  
...  
Keyword(s):  
Large Scale ◽  
General System ◽  
Group Behavior ◽  
Research Area ◽  
Research Field ◽  
Urban Context ◽  
Urban Dynamics ◽  
Context Aware Computing ◽  
Social And Community Intelligence ◽  
New Research

In the past decades, numerous research efforts have been made to model and extract the contexts of users in pervasive computing environments. The recent explosion of sensor-equipped mobile phone market and the phenomenal growth of geo-tagged data (Twitter messages, Foursquare check-ins, etc.) have enabled the analysis of new dimensions of contexts that involve the social and urban context. The technology trend towards pervasive sensing and large-scale social and community computing is making “Social and Community Intelligence (SCI)” a new research area that aims at investigating individual/group behavior patterns, community and urban dynamics based on the “digital footprints.” It is believed that the SCI technology has the potential to revolutionize the field of context-aware computing. The aim of this chapter is to identify this emerging research area, present the research background, define the general system framework, characterize its unique properties, discuss the open research challenges, and present this emerging research field.

scholarly journals Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Hanwen Liu ◽  
Huaizhen Kou ◽  
Chao Yan ◽  
Lianyong Qi
Keyword(s):  
Recommender Systems ◽  
Recommender System ◽  
Large Scale ◽  
Real Life ◽  
Research Field ◽  
Experimental Results ◽  
The Real ◽  
Matching Technique ◽  
Paper Citation ◽  
Citation Graph

Nowadays, scholar recommender systems often recommend academic papers based on users’ personalized retrieval demands. Typically, a recommender system analyzes the keywords typed by a user and then returns his or her preferred papers, in an efficient and economic manner. In practice, one paper often contains partial keywords that a user is interested in. Therefore, the recommender system needs to return the user a set of papers that collectively covers all the queried keywords. However, existing recommender systems only use the exact keyword matching technique for recommendation decisions, while neglecting the correlation relationships among different papers. As a consequence, it may output a set of papers from multiple disciplines that are different from the user’s real research field. In view of this shortcoming, we propose a keyword-driven and popularity-aware paper recommendation approach based on an undirected paper citation graph, named PRkeyword+pop. At last, we conduct large-scale experiments on the real-life Hep-Th dataset to further demonstrate the usefulness and feasibility of PRkeyword+pop. Experimental results prove the advantages of PRkeyword+pop in searching for a set of satisfactory papers compared with other competitive approaches.

Social types and sociological analysis

2019 ◽  
Vol 32 (3) ◽  
pp. 3-23
Author(s):  
Charles Turner
Keyword(s):  
Social Order ◽  
Large Scale ◽  
Social Groups ◽  
Division Of Labour ◽  
Industrial Society ◽  
Literature And Science ◽  
Sociological Analysis ◽  
History Of Sociology ◽  
History Of ◽  
Post Industrial

Social types, or types of persons, occupy a curious place in the history of sociology. There has never been any agreement on how they should be used, or what their import is. Yet the problems surrounding their use are instructive, symptomatic of key ambivalences at the heart of the sociological enterprise. These include a tension between theories of social order that privilege the division of labour and those that focus on large-scale cultural complexes; a tension between the analysis of society in terms of social groups and an acknowledgement of modern individualism; sociology’s location somewhere between literature and science; and sociology’s awkward response to the claim – made by both Catholic conservatives and Marxists – that modern industrial and post-industrial society cannot be a society of estates. These ambivalences may help to explain why the attempts to use social types for the purpose of cultural diagnosis – from the interesting portrait of arbitrarily selected positions in the division of labour to more ambitious guesswork about modern culture’s dominant ‘characters’ – have been unconvincing.

Sign in / Sign up

Export Citation Format

Share Document