10,419 research outputs found
A qualitative analysis of the factors that protect athletes against doping in sport
Design: Ten competitive athletes (M = 5, F = 5) representing five different sports (field hockey, boxing, football, triathlon, rugby) were recruited through convenience sampling to undertake a semi-structured interview to enable a qualitative analysis of athletes' lifelong athletic careers. Method: Verbatim transcripts were analysed using an established three-stage coding process to identify the common themes within the narratives. Results: Personal and situational protective factors were identified in the accounts. Personal factors included: (i) a strong moral stance against cheating; (ii) an identity beyond sport; (iii) self-control; and (iv) resilience to social group pressures. Situational factors included secure attachments to people at all stages of the athlete's life. This facilitated both the promotion of moral decision making and assisted in the development of anti-doping attitudes. When situational factors – such as a pro-doping climate – arose, key attachments in the athletes' lives interplayed with personal factors to reduce the risk of doping. Conclusions: These findings offer insights into factors that protect competitive athletes against using PEDs in sport and further our understanding of the complex interaction between risk and protective factors at individual, psychosocial and societal levels among competitive athletes. As a complex behaviour, doping in sport cannot be prevented by solely focussing on the individual athlete; contextual factors beyond the athlete's control also impact on this behaviour. Thus, a paradigm shift is warranted to move beyond an athlete-centred approach to anti-doping
RGB-D-based Action Recognition Datasets: A Survey
Human action recognition from RGB-D (Red, Green, Blue and Depth) data has
attracted increasing attention since the first work reported in 2010. Over this
period, many benchmark datasets have been created to facilitate the development
and evaluation of new algorithms. This raises the question of which dataset to
select and how to use it in providing a fair and objective comparative
evaluation against state-of-the-art methods. To address this issue, this paper
provides a comprehensive review of the most commonly used action recognition
related RGB-D video datasets, including 27 single-view datasets, 10 multi-view
datasets, and 7 multi-person datasets. The detailed information and analysis of
these datasets is a useful resource in guiding insightful selection of datasets
for future research. In addition, the issues with current algorithm evaluation
vis-\'{a}-vis limitations of the available datasets and evaluation protocols
are also highlighted; resulting in a number of recommendations for collection
of new datasets and use of evaluation protocols
Sports, Inc. Volume 7, Issue 1
The ILR Cornell Sports Business Society magazine is a semester publication titled Sports, Inc. This publication serves as a space for our membership to publish and feature in-depth research and well-thought out ideas to advance the world of sport. The magazine can be found in the Office of Student Services and is distributed to alumni who come visit us on campus. Issues are reproduced here with permission of the ILR Cornell Sports Business Society.https://digitalcommons.ilr.cornell.edu/sportsinc/1008/thumbnail.jp
The Inclusion of Pupils with Special Educational Needs: A Study of the Formulation and Implementation of the National Curriculum Physical Education in Britain
The paper examines the planned and unplanned outcomes associated with the inclusion of pupils with special educational needs (SEN) in the National Curriculum Physical Education (NCPE) in Britain. This involves the use of key concepts from figurational sociology, and documentary analysis, to examine the emergence of disability as a social issue in British society and in secondary school education. Norbert Elias’ game models (Elias, 1978) are then used to analyse the NCPE 1992, 1995 and 2000 documents, and their associated consultation materials. This allows the researcher to identify all the major players involved in the formulation of the NCPEs, and the extent to which the objectives of each player, and their subsequent power struggles with each other, impacted upon the overall objectives and content of the NCPEs. The game models are then used to examine the extent to which the objectives of the players involved in the implementation of the NCPE generated outcomes which none of the players planned for, or could have foreseen
Collective bargaining in sport: challenges and benefits
This article analyses the relationship between sport law and employment law – in particular, the legal recognition and involvement of collective bargaining in professional
sport. Drawing on a number of specific examples – professional rugby, Formula One motor racing and mixed martial arts – this article attempts to identify existing and possible future challenges for the applicability of collective bargaining in this unusual legal context. Section
B sets out the general advantages of collective bargaining in a sporting context, then explores the applicable legal structures and characteristics present in professional sport in more detail. Section C examines these characteristics in the specific context of professional rugby, motor racing and mixed martial arts. Finally, Section D examines both systemic and specific legal
issues that may arise if and when collective influence grows in the professional sporting employment relations. The conclusion of this article, Section E, is that, whilst collective bargaining presents a number of challenges to the law of professional sport, these challenges
can (and should) be overcome
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