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Keywords = rort

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20 pages, 258 KB  
Article
‘Rorting the System’: Police Detectives, Diversity, and Workplace Advantage
by Toby Miles-Johnson and Kate Linklater
Societies 2022, 12(2), 68; https://doi.org/10.3390/soc12020068 - 8 Apr 2022
Cited by 5 | Viewed by 6833
Abstract
Internal workplace practices and policies in policing are based on a notion of fairness and equal opportunity. Yet police organizations are frequently criticized for discriminatory policing practices, unfair and biased workplace practices, and poor interpersonal treatment of officers. Whilst there is a wide [...] Read more.
Internal workplace practices and policies in policing are based on a notion of fairness and equal opportunity. Yet police organizations are frequently criticized for discriminatory policing practices, unfair and biased workplace practices, and poor interpersonal treatment of officers. Whilst there is a wide body of research examining diversity in relation to external police practices, there is a lack of knowledge regarding diversity and internal workplace practices; particularly from the perspective of police detectives who often have more substantial policing experience and longer employment histories than other non-commissioned officers. Contributing new findings to the extant policing literature, this research analyzes data collected from interviews with twenty police detectives working in one of the largest Australian police organizations. It suggests that police detectives in this study have negative perceptions of diversity, and associate diversity with unfair advantages in the workplace. In Australian culture, the phrase ‘rorting the system’ is an informal expression used to describe individuals or groups of people who take unfair advantage of a public service or workplace policy to change their circumstances. The findings suggest that detectives in this study believe diversity enables some officers to take advantage of workplace policy and ‘rort’ the system. Full article
(This article belongs to the Special Issue Diversity and Inclusion in Policing: Its Role in Criminal Justice)
19 pages, 10729 KB  
Article
An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data
by Fukun Yang, Meng Fan and Jinhua Tao
Remote Sens. 2021, 13(2), 280; https://doi.org/10.3390/rs13020280 - 14 Jan 2021
Cited by 10 | Viewed by 3164
Abstract
The four wide-field-of-view (WFV) cameras aboard the GaoFen-1 (GF-1) satellite launched by China in April 2013 have been applied to the studies of the atmospheric environment. To highlight the advantages of GF-1 data in the atmospheric environment monitoring, an improved deep blue (DB) [...] Read more.
The four wide-field-of-view (WFV) cameras aboard the GaoFen-1 (GF-1) satellite launched by China in April 2013 have been applied to the studies of the atmospheric environment. To highlight the advantages of GF-1 data in the atmospheric environment monitoring, an improved deep blue (DB) algorithm using only four bands (visible–near infrared) of GF-1/WFV was adopted to retrieve the aerosol optical depth (AOD) at ~500 m resolution in this paper. An optimal reflectivity technique (ORT) method was proposed to construct monthly land surface reflectance (LSR) dataset through converting from MODIS LSR product according to the WFV and MODIS spectral response functions to make the relationship more suitable for GF-1/WFV. There is a good spatial coincidence between our retrieved GF-1/WFV AOD results and MODIS/Terra or Himawari-8/AHI AOD products at 550 nm, but GF-1/WFV AOD with higher resolution can better characterized the details of regional pollution. Additionally, our retrieved GF-1/WFV AOD (2016–2019) results showed a good agreement with AERONET ground-based AOD measurements, especially, at low levels of AOD. Based on the same LSR dataset transmitted from 2016–2018 MODIS LSR products, RORT of 2016–2018 and 2019 GF-1/WFV AOD retrievals can reach up to 0.88 and 0.94, respectively, while both of RMSEORT are smaller than 0.13. It is indicated that using the ORT method to deal with LSR information can make GF-1/WFV AOD retrieval algorithm more suitable and flexible. Full article
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