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President Reagan's success stems from his use of rhetorical structures characteristic of the oral epics and his use of the electronic media which partially replicate conditions characteristic of preliterate oral societies. These societies develop a culture transmitted orally through epic poems or recitations. Such recitations are developed by themes, formulas, and repetition as well as by distinctive thought patterns, experiential and non‐analytic. Reagan's methods will have a lasting influence on American political discourse, since future politicians will emulate his techniques.  相似文献   
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The view taken by any particular educational researcher of the desirability and potential usefulness of guidelines for qualitative research seems likely to depend upon the way in which the activity of 'doing educational research' is itself conceptualised. The implications of a number of possible positions on this question are examined. It is argued that the existence of such a range of positions is likely to continue, but that there may be, nevertheless, a limited role for generally applicable research guidelines if their purpose is appropriately defined.  相似文献   
524.
Abstract

The limited effectiveness and fiscal unsustainability of professional-led public sector extension systems in developing countries have aroused considerable interest in Farmer-led Extension (FLE) approaches in the recent decades. A key challenge facing these initiatives is a lack of sustainability of the farmer groups developed through project or programme assistance. This not only makes FLE initiatives costly, but also creates dependency among farmers. Despite this, the knowledge of what can make externally-initiated FLE groups sustainable is scant and largely anecdotal. In this paper we provide an empirically-drawn and theoretically-informed framework to fill this knowledge gap.

The framework is based on a comparative case study of six non-sustained and four sustained FLE groups initiated through an innovative extension reform project in Bangladesh and a comparison of the results with the theories of collective action.

We have identified four sets of inter-related factors called ‘capitals’ affecting group sustainability: ‘financial capital’ accumulated through group-based microcredit activities, an effective governance mechanism called ‘institutional capital’ devised by the members themselves, good quality group leaders and facilitators called ‘human capital’, and past relations of exchange, reciprocity, trust and respect called ‘social capital’ among members and between members and professional facilitators. While microcredit can benefit sustainability, it suits women rather than men farmers. Good quality leaders and facilitators are not only technically competent, but also fair, innovative, tenacious, self-sacrificing, trustworthy, honest, and sincere. All forms of social capital are not useful for group sustainability and social capital can make a positive impact only when the other types of capital—human and institutional—are present within a group.

To improve group sustainability, FLE programmes should take a holistic approach and address the four kinds of capitals proposed in this paper. Key strategies may include: combining extension (information or advisory functions) with economic activities but avoiding a one-size-fits-all solution, recruiting group leaders and facilitators by going beyond technical considerations (e.g. taking into account the personality traits identified in this study), adopting a bottom-up approach in devising group rules and regulations, and taking into account both the positive and negative aspects of social capital.

The originality of our research lies in the explanatory framework that we provide in this paper. Our study also contributes to the intellectual debates on social capital by exhibiting the dual roles that social capital plays and its complex interrelationships with other forms of capital.  相似文献   
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IntroductionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological tests have been suggested as an additional diagnostic tool in highly suspected cases with a negative molecular test and determination of seroprevalence in population. We compared the diagnostic performance of eight commercial serological assays for IgA, IgM, and IgG antibodies to the SARS-CoV-2 virus.Materials and methodsThe comparison study was performed on a total of 76 serum samples: 30 SARS-CoV-2 polymerase chain reaction (PCR)-negative and 46 SARS-CoV-2 PCR-positive patients with asymptomatic to severe disease and symptoms duration from 3-30 days. The study included: three rapid lateral flow immunochromatographic assays (LFIC), two enzyme-linked immunosorbent assays (ELISA), and three chemiluminescence immunoassays (CLIA).ResultsAgreement between IgM assays were minimal to moderate (kappa 0.26 to 0.63) and for IgG moderate to excellent (kappa 0.72 to 0.92). Sensitivities improved with > 10 days of symptoms and were: 30% to 89% for IgM; 89% to 100% for IgG; 96% for IgA; 100% for IgA/IgM combination; 96% for total antibodies. Overall specificities were: 90% to 100% for IgM; 85% to 100% for IgG; 90% for IgA; 70% for IgA/IgM combination; 100% for total antibodies. Diagnostic accuracy for IgG ELISA and CIA assays were excellent (AUC ≥ 0.90), without significant difference. IgA showed significantly better diagnostic accuracy than IgM (P < 0.001).ConclusionThere is high variability between IgM assays independently of the assay format, while IgG assays showed moderate to perfect agreement. The appropriate time for testing is crucial for the proper immunity investigation.  相似文献   
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528.
Research in Science Education - In this article, we turn our attention to context-based approaches to science instruction. We studied the effects of changes to a set of secondary science teacher...  相似文献   
529.
This article describes in-depth research on machine learning methods for sentiment analysis of Czech social media. Whereas in English, Chinese, or Spanish this field has a long history and evaluation datasets for various domains are widely available, in the case of the Czech language no systematic research has yet been conducted. We tackle this issue and establish a common ground for further research by providing a large human-annotated Czech social media corpus. Furthermore, we evaluate state-of-the-art supervised machine learning methods for sentiment analysis. We explore different pre-processing techniques and employ various features and classifiers. We also experiment with five different feature selection algorithms and investigate the influence of named entity recognition and preprocessing on sentiment classification performance. Moreover, in addition to our newly created social media dataset, we also report results for other popular domains, such as movie and product reviews. We believe that this article will not only extend the current sentiment analysis research to another family of languages, but will also encourage competition, potentially leading to the production of high-end commercial solutions.  相似文献   
530.
This paper investigates the extent to which psychological theory and research has contributed to how bullying is managed within schools. Teachers' awareness of the behaviours that constitute bullying, gender differences leading to identification difficulties, and low levels of reporting are discussed as plausible reasons for teachers' low intervention rates. Pupils' attitudes towards and responses to bullying are examined within the contexts of self‐efficacy, self‐acceptance and level of problem‐solving skill. Subsequent anti‐bullying interventions focusing on these aspects are explored and the importance of a whole‐school approach emphasised.  相似文献   
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