'Regina v John Terry': The Discursive Construction of an Alleged Racist Event

This article explores the conformation in discourse of a verbal exchange and its subsequent mediatised and legal ramifications. The event concerns an allegedly racist insult directed by high profile English professional footballer John Terry towards another player, Anton Ferdinand, during a televised match in October 2011. The substance of Terry’s utterance, which included the noun phrase ‘fucking black cunt’, was found by a Chief Magistrate not to be a racist insult, although the fact that these actual words were framed within the utterance was not in dispute. The upshot of this ruling was that Terry was acquitted of a racially aggravated public order offence. A subsequent investigation by the regulatory commission of the English Football Association (FA) ruled, almost a year after the event, that Terry was guilty of racially abusing Ferdinand. Terry was banned for four matches and fined £220,000.

It is our contention that this event, played out in legal rulings, social media and print and broadcast media, constitutes a complex web of linguistic structures and strategies in discourse, and as such lends itself well to analysis with a broad range of tools from pragmatics, discourse analysis and cognitive linguistics. Amongst other things, such an analysis can help explain the seemingly anomalous - even contradictory - position adopted in the legal ruling with regard to the speech act status of ‘fucking black cunt’; namely, that the racist content of the utterance was not contested but that the speaker was found not to have issued a racist insult. Over its course, the article addresses this broader issue by making reference to the systemic-functional interpersonal function of language, particularly to the concepts of modality, polarity and modalisation. It also draws on models of verbal irony from linguistic pragmatics, notably from the theory of irony as echoic mention (c.f. Sperber and Wilson, 1981; Wilson and Sperber, 1992). Furthermore, the article makes use of the cognitive-linguistic framework, Text World Theory (c.f. Gavins, 2007; Werth, 1999) to examine the discourse positions occupied by key actors and adapts, from cognitive poetics, the theory of mind-modelling (c.f. Stockwell, 2009) to explore the conceptual means through which these actors discursively negotiate the event.

It is argued that the pragmatic and cognitive strategies that frame the entire incident go a long way towards mitigating the impact of so ostensibly stark an act of racial abuse. Moreover, it is suggested here that the reconciliation of Terry’s action was a result of the confluence of strategies of discourse with relations of power as embodied by the media, the law and perceptions of nationhood embraced by contemporary football culture. It is further proposed that the outcome of this episode, where the FA was put in the spotlight, and where both the conflict and its key antagonists were ‘intranational’, was strongly impelled by the institution of English football and its governing body both to reproduce and maintain social, cultural and ethnic cohesion and to avoid any sense that the event featured a discernable ‘out-group’.

Belief change with noisy sensing in the situation calculus

Situation calculus has been applied widely in arti?cial intelligence to model and reason about actions and changes in dynamic systems. Since actions carried out by agents will cause constant changes of the agents’ beliefs, how to manage
these changes is a very important issue. Shapiro et al. [22] is one of the studies that considered this issue. However, in this framework, the problem of noisy sensing, which often presents in real-world applications, is not considered. As a
consequence, noisy sensing actions in this framework will lead to an agent facing inconsistent situation and subsequently the agent cannot proceed further. In this paper, we investigate how noisy sensing actions can be handled in iterated
belief change within the situation calculus formalism. We extend the framework proposed in [22] with the capability of managing noisy sensings. We demonstrate that an agent can still detect the actual situation when the ratio of noisy sensing actions vs. accurate sensing actions is limited. We prove that our framework subsumes the iterated belief change strategy in [22] when all sensing actions are accurate. Furthermore, we prove that our framework can adequately handle belief introspection, mistaken beliefs, belief revision and belief update even with noisy sensing, as done in [22] with accurate sensing actions only.

Handling Sequential Observations in Intelligent Surveillance

Demand for intelligent surveillance in public transport systems is growing due to the increased threats of terrorist attack, vandalism and litigation. The aim of intelligent surveillance is in-time reaction to information received from various monitoring devices, especially CCTV systems. However, video analytic algorithms can only provide static assertions, whilst in reality, many related events happen in sequence and hence should be modeled sequentially. Moreover, analytic algorithms are error-prone, hence how to correct the sequential analytic results based on new evidence (external information or later sensing discovery) becomes an interesting issue. In this paper, we introduce a high-level sequential observation modeling framework which can support revision and update on new evidence. This framework adapts the situation calculus to deal with uncertainty from analytic results. The output of the framework can serve as a foundation for event composition. We demonstrate the significance and usefulness of our framework with a case study of a bus surveillance project.

The Ultraviolet-Bright, Slowly Declining Transient PS1-11af as a Partial Tidal Disruption Event

We present the Pan-STARRS1 discovery of the long-lived and blue transient PS1-11af, which was also detected by Galaxy Evolution Explorer with coordinated observations in the near-ultraviolet (NUV) band. PS1-11af is associated with the nucleus of an early type galaxy at redshift z = 0.4046 that exhibits no evidence for star formation or active galactic nucleus activity. Four epochs of spectroscopy reveal a pair of transient broad absorption features in the UV on otherwise featureless spectra. Despite the superficial similarity of these features to P-Cygni absorptions of supernovae (SNe), we conclude that PS1-11af is not consistent with the properties of known types of SNe. Blackbody fits to the spectral energy distribution are inconsistent with the cooling, expanding ejecta of a SN, and the velocities of the absorption features are too high to represent material in homologous expansion near a SN photosphere. However, the constant blue colors and slow evolution of the luminosity are similar to previous optically selected tidal disruption events (TDEs). The shape of the optical light curve is consistent with models for TDEs, but the minimum accreted mass necessary to power the observed luminosity is only 0.002 M, which points to a partial disruption model. A full disruption model predicts higher bolometric luminosities, which would require most of the radiation to be emitted in a separate component at high energies where we lack observations. In addition, the observed temperature is lower than that predicted by pure accretion disk models for TDEs and requires reprocessing to a constant, lower temperature. Three deep non-detections in the radio with the Very Large Array over the first two years after the event set strict limits on the production of any relativistic outflow comparable to Swift J1644+57, even if off-axis.

Donor type microchimerism is an infrequent event following liver transplantation and is not associated with graft acceptance

Donor-type microchimerism, the presence of a minority population of donor-derived haematopoietic cells following solid organ transplantation, has been postulated as a mechanism for induction of donor-specific graft tolerance. The stability, frequency, and relevance of microchimerism with respect to long-term outcome, however, remains uncertain. Using a polymerase chain reaction (PCR)-based method of microsatellite analysis of highly polymorphic short tandem repeat sequences (STRs) to detect donor-type cells, DNA from 11 patients was analyzed prospectively at specific time points for 12 months following liver transplantation, and from a further six patients retrospectively 2 years after liver transplantation. Using a panel of STRs, transient peripheral blood donor microchimerism was detected in 2 of 11 patients at a single time-point following transplantation, but persistent evidence of donor-derived cells was not observed during the study period. Analysis of DNA extracted from skin and duodenum in two patients likewise failed to show donor-type cells at these sites. None of the six patients in the retrospective arm showed donor microchimerism, resulting in an overall detection rate of 1.58%. These results suggest that donor microchimerism following liver transplantation is an infrequent event, and that the generation of graft tolerance is independent of microchimerism.

Low alanine aminotransferase levels and higher number of cardiovascular events in people with Type 2 diabetes: analysis of the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study.

AIMS: To determine whether alanine aminotransferase or gamma-glutamyltransferase levels, as markers of liver health and non-alcoholic fatty liver disease, might predict cardiovascular events in people with Type 2 diabetes.

METHODS: Data from the Fenofibrate Intervention and Event Lowering in Diabetes study were analysed to examine the relationship between liver enzymes and incident cardiovascular events (non-fatal myocardial infarction, stroke, coronary and other cardiovascular death, coronary or carotid revascularization) over 5 years.

RESULTS: Alanine aminotransferase level had a linear inverse relationship with the first cardiovascular event occurring in participants during the study period. After adjustment, for every 1 sd higher baseline alanine aminotransferase value (13.2 U/l), the risk of a cardiovascular event was 7% lower (95% CI 4-13; P=0.02). Participants with alanine aminotransferase levels below and above the reference range 8-41 U/l for women and 9-59 U/l for men, had hazard ratios for a cardiovascular event of 1.86 (95% CI 1.12-3.09) and 0.65 (95% CI 0.49-0.87), respectively (P=0.001). No relationship was found for gamma-glutamyltransferase.

CONCLUSIONS: The data may indicate that in people with Type 2 diabetes, which is associated with higher alanine aminotransferase levels because of prevalent non-alcoholic fatty liver disease, a low alanine aminotransferase level is a marker of hepatic or systemic frailty rather than health. This article is protected by copyright. All rights reserved.

Evidential event inference in transport video surveillance

This paper presents a new framework for multi-subject event inference in surveillance video, where measurements produced by low-level vision analytics usually are noisy, incomplete or incorrect. Our goal is to infer the composite events undertaken by each subject from noise observations. To achieve this, we consider the temporal characteristics of event relations and propose a method to correctly associate the detected events with individual subjects. The Dempster–Shafer (DS) theory of belief functions is used to infer events of interest from the results of our vision analytics and to measure conflicts occurring during the event association. Our system is evaluated against a number of videos that present passenger behaviours on a public transport platform namely buses at different levels of complexity. The experimental results demonstrate that by reasoning with spatio-temporal correlations, the proposed method achieves a satisfying performance when associating atomic events and recognising composite events involving multiple subjects in dynamic environments.

Event-driven implicit authentication for mobile access control

In order to protect user privacy on mobile devices, an event-driven implicit authentication scheme is proposed in this paper. Several methods of utilizing the scheme for recognizing legitimate user behavior are investigated. The investigated methods compute an aggregate score and a threshold in real-time to determine the trust level of the current user using real data derived from user interaction with the device. The proposed scheme is designed to: operate completely in the background, require minimal training period, enable high user recognition rate for implicit authentication, and prompt detection of abnormal activity that can be used to trigger explicitly authenticated access control. In this paper, we investigate threshold computation through standard deviation and EWMA (exponentially weighted moving average) based algorithms. The result of extensive experiments on user data collected over a period of several weeks from an Android phone indicates that our proposed approach is feasible and effective for lightweight real-time implicit authentication on mobile smartphones.

How to return to “normal” after a cardiac event: State of the Art Lecture

Electronic report

Real-Time Multiple Event Detection and Classification Using Moving Window PCA

This paper proposes a method for the detection and classification of multiple events in an electrical power system in real-time, namely; islanding, high frequency events (loss of load) and low frequency events (loss of generation). This method is based on principal component analysis of frequency measurements and employs a moving window approach to combat the time-varying nature of power systems, thereby increasing overall situational awareness of the power system. Numerical case studies using both real data, collected from the UK power system, and simulated case studies, constructed using DigSilent PowerFactory, for islanding events, as well as both loss of load and generation dip events, are used to demonstrate the reliability of the proposed method.