Coping with complex boundaries

Author(s):  
Avner Friedman ◽  
Jack F. Douglas
Keyword(s):  
2010 ◽  
Vol 26 (4) ◽  
pp. 243-252 ◽  
Author(s):  
Jian He ◽  
Xi Chen ◽  
Zhangye Wang ◽  
Chen Cao ◽  
He Yan ◽  
...  

2019 ◽  
Vol 75 (3) ◽  
pp. 275-290
Author(s):  
Maria Bou Zeid ◽  
Jessica R. El-Khoury

The Lebanese media sector has played a pioneering role in the Arab world due to its free and diverse system. However, the lack of professional and ethical structures in journalistic practices can be attributed to political and economic pressures. Through both a quantitative and qualitative methodology, this study contributes to the complex boundaries of the Lebanese media landscape that make the gap between media ethics education and real-world pressures in need of sustained analysis. This research aims to explore the challenges media ethics education in Lebanon faces, along with the perceptions formed by media students about journalistic practices and the application of moral reasoning in the field. In addition, the study investigates whether media ethics courses prepare students for settling moral dilemmas in the professional arena. To address the multiple factors affecting ethics education, it is significant to understand the relationship between journalists and power, democratic norms, technological change, global community, and academic critiques. Survey and focus groups results indicated that the majority of students rated moral reasoning as important for their future media professions, and that the media ethics course prepares them for professional life. On the other hand, the majority believe that the corrupt system in Lebanon makes journalists resort to unethical practices which in turn compromise journalists’ credibility and integrity. Students consider that journalists have power as the so-called fourth estate, yet that power seems minimal when journalists lack the freedom to write facts without fear from editors and/or gatekeepers’ political views, economic pressure, and on-the-job demands, placing journalistic integrity again at stake.


2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Chu He ◽  
Zishan Shi ◽  
Peizhang Fang ◽  
Dehui Xiong ◽  
Bokun He ◽  
...  

In recent years, methods based on neural network have achieved excellent performance for image segmentation. However, segmentation around the edge area is still unsatisfactory when dealing with complex boundaries. This paper proposes an edge prior semantic segmentation architecture based on Bayesian framework. The entire framework is composed of three network structures, a likelihood network and an edge prior network at the front, followed by a constraint network. The likelihood network produces a rough segmentation result, which is later optimized by edge prior information, including the edge map and the edge distance. For the constraint network, the modified domain transform method is proposed, in which the diffusion direction is revised through the newly defined distance map and some added constraint conditions. Experiments about the proposed approach and several contrastive methods show that our proposed method had good performance and outperformed FCN in terms of average accuracy for 0.0209 on ESAR data set.


2019 ◽  
Vol 60 (2) ◽  
pp. 188-203 ◽  
Author(s):  
Emily Heavey ◽  
Justin Waring ◽  
Aoife De Brún ◽  
Pamela Dawson ◽  
Jason Scott

This study examines how patients conceptualize “responsibility” for their healthcare and make sense of the complex boundaries between patient and professional roles. Focusing on the specific case of patient safety, narrative methods were used to analyze semistructured interviews with 28 people recently discharged from hospital in England. We present a typology of attribution, which demonstrates that patients’ attributions of responsibility to staff and/or to patients are informed by two dimensions of responsibility: basis and contingency. The basis of responsibility is the reason for holding an individual or group responsible. The contingency of responsibility is the extent to which that attribution is contextually situated. The article contributes to knowledge about responsibility in complex organizational environments and offers a set of conceptual tools for exploring patients’ understanding of responsibility in such contexts. There are implications for addressing patient engagement in care, within and beyond the field of patient safety.


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