Framework For Contextual Analysis Research Articles

Deep parallel contextual analysis framework based emotion prediction in community wellness communications on social media

Understanding public emotion on social media about community wellness is crucial for enhancing health awareness and guiding policy-making. In order to more fully mine the deep contextual semantical information of short texts and further enhance the effectiveness of emotion prediction in social media, we propose the Deep Parallel Contextual Analysis Framework (DPCAF) in the community wellness domain, specifically addressing the challenges of limited text length and available semantical features in social media text. Specifically, at the embedding layer, we first utilize two different word embedding techniques to generate high-quality vector representations, aiming to achieve more comprehensive semantical capture, stronger generalization ability, and more robust model performance. Subsequently, in the deep contextual layer, the obtained representations are fused with POS and locational representations, and processed through a deep parallel layer composed of Convolutional Neural Networks and Bidirectional Long Short-Term Memory Network. An attention model is then used to further extract semantical features of social media texts. Finally, these deep parallel contextual representations are post-integrated for emotion prediction. Experiments on a dataset collected from social media regarding community wellness demonstrate that compared to benchmark models, DPCAF achieves at least a 4.81 % increase in Precision, a 3.44 % increase in Recall, and a 10.81 % increase in F1-score. Relative to the most advanced models, DPCAF shows a minimum improvement of 2.65 % in Precision, 3.02 % in Recall, and 2.53 % in F1-score.

A Comparative Study Between The Papua Contextual Textbook (BPKP) and The Government Published

This paper is a study of two mathematical resources in the Indonesian primary education system. It is an empirical study that will compare the two booklets in the West Papua context. This paper will concentrate on 4 aspects of a contextual analysis framework used the Trends in International Mathematics and Science Study (TIMSS). The 4 aspects used in this study are structure, content, expectation and language. In 2013, Wamena Christian Foundation School (WCFS) published the Papua Contextual Textbooks: Buku Paket Kontekstual Papua (BPKP). These textbooks consisted of two subjects Mathematics and Bahasa Indonesia for Grade 1, 2 and 3 at the Primary Schools. This research examines the resource “Buku Paket Kontekstual Papua” (BPKP) which was designed by Wamena Christian Foundation School (WCFS) and the other resource “Matematika Untuk SD/MI Kelas 1” (MTG1_DH) which is the government issues resource designed by Djaelani and Haryono in 2008. The purpose of these textbooks is to uplift the education outcome from Indigenous Papuans in literacy and numeracy. After many good results from testing the Governor of West Papua and The Head of Education and Cultural Department ordered all school to utilise the BPKP textbook for the delivery of maths instruction. This paper will examine the difference later in the paper. What also will be examined is why this was so? The Governor of West Papua and the Head of Education and Cultural Department ordered the usage of BPKP resource without any empirical evidence to support him excepting the testing results. In using the textbook analysis process the research was able to identify significant differences in all areas of the textbook analysis. Through this process, the research will TIMSS definition of what a textbook analysis should consist of TIMSS identify 4 areas that make a good textbook analysis. The structure requires you to incorporate reference, substitution, ellipsis, conjunction and lexical when examining books. Content has 4 factors that define an analysis. These are motivation, comprehension cues, technical aids and philosophical position. Expectation requires empathy and philosophy. Language examines the narration and description aspect of a text. This analytical research paper will highlight the significant difference between the two resources and the effect it has on the West Papuan learners of Mathematics in the Primary School grades of 1, 2 & 3.

Methodological approaches to study context in intervention implementation studies: an evidence gap map

BackgroundWithin implementation science studies, contextual analysis is increasingly recognized as foundational to interventions' successful and sustainable implementation. However, inconsistencies between methodological approaches currently limit progress in studying context and guidance to standardize the use of those approaches is scant. Therefore, this study's objective was to systematically review and map current methodological approaches to contextual analysis in intervention implementation studies. The results would help us both to systematize the process of contextual analysis and identify gaps in the current evidence.MethodsWe conducted an evidence gap map (EGM) based on literature data via a stepwise approach. First, using an empirically developed search string, we randomly sampled 20% of all intervention implementation studies available from PubMed per year (2015–2020). Second, we assessed included studies that conducted a contextual analysis. Data extraction and evaluation followed the Basel Approach for CoNtextual ANAlysis (BANANA), using a color-coded rating scheme. Also based on BANANA and on the Context and Implementation of Complex Interventions (CICI) framework–an implementation framework that pays ample attention to context– we created visual maps of various approaches to contextual analysis.ResultsOf 15, 286 identified intervention implementation studies and study protocols, 3017 were screened for inclusion. Of those, 110 warranted close examination, revealing 22% that reported on contextual analysis.Only one study explicitly applied a framework for contextual analysis. Data were most commonly collected via surveys (n = 15) and individual interviews (n = 13). Ten studies reported mixed-methods analyses. Twenty-two assessed meso-level contextual and setting factors, with socio-cultural aspects most commonly studied. Eighteen described the use of contextual information for subsequent project phases (e.g., intervention development/adaption, selecting implementation strategies). Nine reported contextual factors' influences on implementation and/or effectiveness outcomes.ConclusionsThis study describes current approaches to contextual analysis in implementation science and provides a novel framework for evaluating and mapping it. By synthesizing our findings graphically in figures, we provide an initial evidence base framework that can incorporate new findings as necessary. We strongly recommend further development of methodological approaches both to conduct contextual analysis and to systematize the reporting of it. These actions will increase the quality and consistency of implementation science research.

The convergence of business models and long-term financing in the energy transition

In this article, we examine the convergence of business models and long-term financing to close the infrastructure gap in the context of the energy transition, revisiting challenges, and issues faced by policy makers and investors in mobilizing capital in a disrupted environment. Contextual analysis framework is developed to capture information from interviews with key stakeholders. We single out business models that emerged in the energy industry requiring different types of return and financing needs. The convergence among the type of the business models and the financing requirements determines the return allocation. Additionally, we identify key regulatory challenges that should be addressed along the way to promote investments and innovation in the context of the energy transition.

Beyond form and functioning: Understanding how contextual factors influence village health committees in northern India.

Health committees are a common strategy to foster community participation in health. Efforts to strengthen committees often focus on technical inputs to improve committee form (e.g. representative membership) and functioning (e.g. meeting procedures). However, porous and interconnected contextual spheres also mediate committee effectiveness. Using a framework for contextual analysis, we explored the contextual features that facilitated or hindered Village Health, Sanitation and Nutrition Committee (VHSNC) functionality in rural north India. We conducted interviews (n = 74), focus groups (n = 18) and observation over 1.5 years. Thematic content analysis enabled the identification and grouping of themes, and detailed exploration of sub-themes. While the intervention succeeded in strengthening committee form and functioning, participant accounts illuminated the different ways in which contextual influences impinged on VHSNC efficacy. Women and marginalized groups navigated social hierarchies that curtailed their ability to assert themselves in the presence of men and powerful local families. These dynamics were not static and unchanging, illustrated by pre-existing cross-caste problem solving, and the committee’s creation of opportunities for the careful violation of social norms. Resource and capacity deficits in government services limited opportunities to build relationships between health system actors and committee members and engendered mistrust of government institutions. Fragmented administrative accountability left committee members bearing responsibility for improving local health without access to stakeholders who could support or respond to their efforts. The committee’s narrow authority was at odds with widespread community needs, and committee members struggled to involve diverse government services across the health, sanitation, and nutrition sectors. Multiple parallel systems (political decentralization, media and other village groups) presented opportunities to create more enabling VHSNC contexts, although the potential to harness these opportunities was largely unmet. This study highlights the urgent need for supportive contexts in which people can not only participate in health committees, but also access the power and resources needed to bring about actual improvements to their health and wellbeing.

Data-driven contextual modeling for 3D scene understanding

The recent development of fast depth map fusion technique enables the realtime, detailed scene reconstruction using commodity depth camera, making the indoor scene understanding more possible than ever. To address the specific challenges in object analysis at subscene level, this work proposes a data-driven approach to modeling contextual information covering both intra-object part relations and inter-object object layouts. Our method combines the detection of individual objects and object groups within the same framework, enabling contextual analysis without knowing the objects in the scene a priori. The key idea is that while contextual information could benefit the detection of either individual objects or object groups, both can contribute to object extraction when objects are unknown.Our method starts with a robust segmentation and partitions a subscene into segments, each of which represents either an independent object or a part of some object. A set of classifiers are trained for both individual objects and object groups, using a database of 3D scene models. We employ the multiple kernel learning (MKL) to learn per-category optimized classifiers for objects and object groups. Finally, we perform a graph matching to extract objects using the classifiers, thus grouping the segments into either an object or an object group. The output is an object-level labeled segmentation of the input subscene. Experiments demonstrate that the unified contextual analysis framework achieves robust object detection and recognition over cluttered subscenes.

Is there such a thing as "group selection" in the, contextual analysis framework?

This paper argues that the contextual approach to natural selection does not offer an estimation of the contributions of individual and group selection to evolutionary change in multi-level selection scenarios, and that this is so because the term "group selection", as defined by the contextual approach, does not refer to a process taking place at the group level. In the contextual analysis framework, this term simply denotes an evolutionary change that takes place due to the fact that, overall, individual types do not share similar contexts or environments, and the only way to claim that such an evolutionary change is a result of selection is by admitting that "group selection" is in fact a kind of frequency-dependent selection, i.e. a selection process taking place at the individual level. Therefore, under the names "individual selection" and "group selection", the contextual approach actually isolates two aspects of the relation between individual types and their environment, and not two distinct levels of selection.

Local responses to global technological change — Contrasting restructuring practices in two rural communities in Austria

In this article, we investigate into local economic restructuring in rural areas that are affected by disruptive technologies. Drawing on an institutionalist framework we apply systematic theory-informed case study analysis of two rural communities in Austria and identify practices that are crucial for a sustainable development of local communities and find that disruptive technologies have to be accompanied by social innovations in the affected communities which consider the capacities and the needs of the local community and establish vertical linkages to policies on the regional and national level. We contribute to the theoretical discussion by presenting a feasible framework for contextual analysis of economic restructuring. Further, we show how this institutionalist perspective can generate insights that support entrepreneurs and policy makers in designing strategies and policies to handle disruptive technologies in rural areas.

Catching up on global change: new ragweed genotypes emerge in elevated CO2conditions

Resource uptake by neighboring plants can be an important driver of natural selection in a changing environment. As climate and resource conditions are altered, genotypes that dominate within mixed populations today may differ markedly from those in future landscapes. We tested whether and how the dominance of different genotypes of the allergenic plant, common ragweed, may change in response to projected atmospheric CO2 conditions. We grew twelve maternal lines in experimental stands at either ambient or twice-ambient levels of CO2. We then constructed a model that combines classical quantitative genetics theory with a set of a priori predictions about the relative performance of genotypes in the two treatments. Our findings show a complete reversal in the genotypic size hierarchy of ragweed plants in response to projected atmospheric CO2 conditions. Genotypes that are competitively suppressed in size at ambient levels become dominant under experimental doubling of CO2. Subordinated plants, in turn, boost their reproductive allocation to that of dominants, shrinking the fitness gap among all genotypes in high CO2. Extending our model to a contextual analysis framework, we further show that natural selection on size is reduced at elevated CO2, because an individual's position within the size hierarchy becomes less important for reproduction than it is in ambient conditions. Our work points to potential future ecological and evolutionary changes in this widespread allergenic plant.

Policy‐making in the public interest: a contextual analysis of the passage of closed‐captioning policy

In 1990 the United States Congress approved the Television Decoder Circuitry Act, which mandated that all television sets 13 inches or larger for sale in the United States be manufactured with caption‐decoding microchips. This legislation allowed millions of deaf and hearing‐impaired people throughout the US access to captions on commercials and television programs. Access to technology is one determinant of who can participate in the social, cultural, political and economic facets of a society. Scholars recognize that communication processes in the public sphere often are unbalanced. Access to media outlets creates a gap between those with media power and those without. Using a contextual analysis framework supported by a social model of disability, this paper defines the roles of parties involved in the passage of closed‐captioning legislation and highlights how social forces were successful in passing legislation beneficial to the Deaf and Hearing‐impaired community.

A framework for the contextual analysis of technology-based learning environments

THE NEED FOR A FRAMEWORK to distinguish the conditions under which different types of educational computing environments are productive is addressed, and a cognitively based Contextual Analysis Framework is proposed that consists of two primary elements: (a)conceptual characteristics of the knowledge domain being learned, including thecomplexity of the concepts and tasks and the degree oforderly and regular conceptual structure of the knowledge domain; and (b)stage of learning (novice, advanced) of the learner within the knowledge domain. The characteristics of different types of technology-based learning environments (e.g., computer-based drill, intelligent tutoring systems, hypertext) are analyzed in terms of the Contextual Analysis Framework. It is argued that the failure to consider important contextual elements of learning related to conceptual characteristics of the domain and the stage of the learner could result in otherwise well-designed instructional computing technologies being used in inappropriate learning situations.

Industrial subcontracting and employment forms in Latin America: a framework for contextual analysis

Industrial subcontracting and employment forms in Latin America: a framework for contextual analysis

Social, political, and economic contexts: Keys in educating true public relations professionals

Contemporary public relations often focuses on strategic counseling as opposed to message production. Counseling requires careful study of clients' social, political and economic contexts. This article provides a systematic framework for contextual analysis. Core concepts for study of the social context include cultural and subcultural beliefs, the quality and frequency of social contacts within and among publics, and frames of reference. With the political context, the focus is on activities and strategies of political actors as well as their role and power relationships. Economic analysis deals with resource availability and opportunity costs.