Understanding perceptions of citizen demeanour: using an experimental design to understand the impact of encounter and observer characteristics

Systematic social observations of police-citizen encounters have revealed that citizen demeanour is an important predictor of outcomes (e.g. arrests and searches). Drawing from research on stereotypes and impression formation, we examine whether characteristics of the encounter and/or observer affect how respondents perceive demeanour. We exposed undergraduates (n = 255) to a randomly rotated series of five between-subjects design, in which characteristics of the encounter (citizen race, gender, or age; officer gender; neighbourhood context) and the level of demeanour displayed were manipulated. OLS regression was used to examine how these manipulations interact to produce our dependent variable – perceptions of demeanour – and whether characteristics of the observer matter for perceptions, independent of the manipulations. We find that some aspects of the encounter, specifically officer gender and the socio-economic context of the neighbourhood, influence perceptions of demeanour. Previous victimisation, observers’ race, and perceptions of the police also impact how demeanour is perceived. These findings suggest that understanding the impact of citizen demeanour on police-citizen encounters requires consideration of encounter and observer characteristics

Unintended consequences of arousing fear in social marketing

The intention of social marketers, by definition, is to contribute to social good. However, an unintended consequence of the frequent use of fear-arousal in social marketing may be the creation of a sense of helplessness both in the target market and in unintended markets. Arousing fear may be counterproductive when attempting to persuade some people to abandon anxiety-soothing, addictive behaviours, such as smoking, drug and alcohol use (Firestone 1994) and may lead to counterproductive, fatalistic thinking and maladaptive responses (Job 1988; Rippetoe & Rogers 1987). The possibility that fear arousal creates helplessness is an important issue for marketing in the next millennium. Helplessness has been shown to be a major factor in depression (Seligman 1975) and depression is acknowledged by the World Health Organisation as one of the world’s primary health problems. The paper presents the case for appealing to positive motivations and emotions as a way to minimise the negative impact of using threat appeals in social marketing. A methodology for systematically testing the relative effectiveness of positive vs negative appeals is described

Molecular antimicrobial resistance surveillance for neisseria gonorrhoeae, Northern Territory, Australia

Neisseria gonorrhoeae antimicrobial resistance (AMR) is a globally recognized health threat; new strategies are needed to enhance AMR surveillance. The Northern Territory of Australia is unique in that 2 different first-line therapies, based primarily on geographic location, are used for gonorrhea treatment. We tested 1,629 N. gonorrhoeae nucleic acid amplification test–positive clinical samples, collected from regions where ceftriaxone plus azithromycin or amoxicillin plus azithromycin are recommended first-line treatments, by using 8 N. gonorrhoeae AMR PCR assays. We compared results with those from routine culture-based surveillance data. PCR data confirmed an absence of ceftriaxone resistance and a low level of azithromycin resistance (0.2%), and that penicillin resistance was \u3c5% in amoxicillin plus azithromycin regions. Rates of ciprofloxacin resistance and penicillinase-producing N. gonorrhoeae were lower when molecular methods were used. Molecular methods to detect N. gonorrhoeae AMR can increase the evidence base for treatment guidelines, particularly in settings where culture-based surveillance is limited

A simulation approach to assessing environmental risk of sound exposure to marine mammals

Intense underwater sounds caused by military sonar, seismic surveys, and pile driving can harm acoustically sensitive marine mammals. Many jurisdictions require such activities to undergo marine mammal impact assessments to guide mitigation. However, the ability to assess impacts in a rigorous, quantitative way is hindered by large knowledge gaps concerning hearing ability, sensitivity, and behavioral responses to noise exposure. We describe a simulation-based framework, called SAFESIMM (Statistical Algorithms For Estimating the Sonar Influence on Marine Megafauna), that can be used to calculate the numbers of agents (animals) likely to be affected by intense underwater sounds. We illustrate the simulation framework using two species that are likely to be affected by marine renewable energy developments in UK waters: gray seal (Halichoerus grypus) and harbor porpoise (Phocoena phocoena). We investigate three sources of uncertainty: How sound energy is perceived by agents with differing hearing abilities; how agents move in response to noise (i.e., the strength and directionality of their evasive movements); and the way in which these responses may interact with longer term constraints on agent movement. The estimate of received sound exposure level (SEL) is influenced most strongly by the weighting function used to account for the specie's presumed hearing ability. Strongly directional movement away from the sound source can cause modest reductions (~5 dB) in SEL over the short term (periods of less than 10 days). Beyond 10 days, the way in which agents respond to noise exposure has little or no effect on SEL, unless their movements are constrained by natural boundaries. Most experimental studies of noise impacts have been short-term. However, data are needed on long-term effects because uncertainty about predicted SELs accumulates over time. Synthesis and applications. Simulation frameworks offer a powerful way to explore, understand, and estimate effects of cumulative sound exposure on marine mammals and to quantify associated levels of uncertainty. However, they can often require subjective decisions that have important consequences for management recommendations, and the basis for these decisions must be clearly described.Publisher PDFPeer reviewe

Movements of Two Rabid Raccoons, Procyon lotor, in Eastern Ontario

An adult female Raccoon Procyon lotor was captured about 3 km north of Mallorytown, Ontario, on 27 August 2004, as part of a government rabies control program. The animal was vaccinated against rabies, ear-tagged and released, and recaptured the next day 1.7 km south of the initial capture location. Upon recapture, the Raccoon had porcupine quills in its facial area and seemed agitated and was submitted for rabies testing. It was confirmed as rabies positive on 31 August 2004, by the Canadian Food Inspection Agency. Similarly, a juvenile male raccoon was captured, ear-tagged, vaccinated, and released near Junetown, Ontario (about 4 km NW of the other rabid Raccoon) on 5 September 2004. It was found dying in a residential window well on 22 September 2004, 700 meters from the original capture location. It was diagnosed as rabid on 23 September 2004

Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital

Whilst digital health data provides great benefits for improved and effective patient care and organisational outcomes, the quality of digital health data can sometimes be a significant issue. Healthcare providers are known to spend a significant amount of time on assessing and cleaning data. To address this situation, this paper presents six Digital Health Data Imperfection Patterns that provide insight into data quality issues of digital health data, their root causes, their impact, and how these can be detected. Using the CRISP-DM methodology, we demonstrate the utility and pervasiveness of the patterns at the emergency department of Australia's major tertiary digital hospital. The pattern collection can be used by health providers to identify and prevent key digital health data quality issues contributing to reliable insights for clinical decision making and patient care delivery. The patterns also provide a solid foundation for future research in digital health through its identification of key data quality issues, root causes, detection techniques, and terminology

Australia\u27s health 1994 : the fourth biennial report of the Australian Institute of Health and Welfare

Australia\u27s Health is the most comprehensive and authoritative source of national information on health in Australia. Australia\u27s Health is published mid-year in even-numbered years and provides national statistics and related information that form a record of health status, service provision and expenditure in Australia