With due respect given to the classic theory of ethics, the paper offers ethical issues in the context of sport at all levels, including youth sport, interscholastic, intercollegiate, professional and the Olympic Games. Unique topics include sport-related fraud, the use of performance-enhancing ...
The Oxford handbook of sport and performance psychology sport and performance psychology; the scope and nature of the field; ethical issues in sport and performance psychology; performance psychology in the ... S Murphy,S Jenkins - 《International Journal of Sports Science & Coaching》 被引量: ...
Global ethical issuesThis text is part of a series called "Sport in the Global Society". It contains 10 essays from different contributors that discuss and debate ethical issues and arguments about performance enhancing drugs in sport in a global context. As the introduction says, "the ...
behaviors in sports (i.e., sportsmanship), translates into ethical behaviors in the classroom, as measured through self-reported instances of academic ... Z Beldon - 《Recreational Sports Journal》 被引量: 0发表: 2023年 Exploring Ethical Issues and Examples by Using Sport The purpose of the ...
Doping in Sport: Global Ethical Issues 类型:简装书作者:Schneider, Angela J.; Hong, FanISBN13:9780415352239出版于:2007-06-06 普通订购748元897元国外仓库 至苏州发货中心至 客户地址(中国大陆地址顺丰包邮)苏州发货中心发货时间:02月17日~02月21日(受春节影响),请在今天17点前付款 ...
To explore the ethical issues of big data SSR in a systematic manner, we employ the normative framework developed in David Resnik’sEthics of science(2005). This framework consists of twelve principles: honesty, carefulness, openness, freedom, credit, education, social responsibility, legality, oppo...
Open Document quality care to the patient and prevent any harm. However, there are many situations where healthcare professionals want to do the right thing, but could not understand doing it in a right way. This situation gives rise to an ethical dilemma. The term ethics represents the moral...
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Ethical and social concerns are a key obstacle to the adoption of artificial intelligence (AI) in the life sciences and beyond. The discussion of these issues has intensified in recent years and led to a number of approaches, tools and initiatives. Key amongst them is the idea of ex-ante ...