Skateboarding as Discordant: A Rhythmanalysis of Disaster Leisure

Research on skateboarding has sought to define it, place it in a spatial-temporal schema, and analyse its social and cultural dimensions. We expand upon skateboarding's relationship with time using the Marxist theorist Henri Lefebvre's temporal science of Rhythmanalysis. With the disruption of urban social production of capital by the Covid-19 pandemic, we find skateboarding renewed in urban disjuncture from Capitalism and argue that this separation is central to its performance and culture. We propose that skateboarding is arrhythmic: discordant, out of step, and disruptive of the more predictable rhythms of everyday production of capital. Drawing on Lefebvre's concept of ‘arrhythmia', we attempt re-conceive a beat and tempo of skateboarding: offbeat, juxtaposed, tilted, and contradictory. We emphasise that this discordance is not a malady but part of a broader beat ontology in skateboarding. This very discordance also raises questions about the continued incorporation of skateboarding into competitive sports, wellbeing, and prosocial paradigms and reminds theorists that skateboarding continues to be unkempt, subversive and tacitly political.

Skateboarding as Discordant: A Rhythmanalysis of Disaster Leisure

Research on skateboarding has sought to define it, place it in a spatial-temporal schema, and analyse its social and cultural dimensions. We expand upon skateboarding's relationship with time using the Marxist theorist Henri Lefebvre's temporal science of Rhythmanalysis. With the disruption of urban social production of capital by the Covid-19 pandemic, we find skateboarding renewed in urban disjuncture from Capitalism and argue that this separation is central to its performance and culture. We propose that skateboarding is arrhythmic: discordant, out of step, and disruptive of the more predictable rhythms of everyday production of capital. Drawing on Lefebvre's concept of 'arrhythmia', we attempt re-conceive a beat and tempo of skateboarding: offbeat, juxtaposed, tilted, and contradictory. We emphasise that this discordance is not a malady but part of a broader beat ontology in skateboarding. This very discordance also raises questions about the continued incorporation of skateboarding into competitive sports, wellbeing, and prosocial paradigms and reminds theorists that skateboarding continues to be unkempt, subversive and tacitly political.

The Use of Automated Machine Translation to Translate Figurative Language in a Clinical Setting: Analysis of a Convenience Sample of Patients Drawn From a Randomized Controlled Trial.

BACKGROUND: Patients with limited English proficiency frequently receive substandard health care. Asynchronous telepsychiatry (ATP) has been established as a clinically valid method for psychiatric assessments. The addition of automated speech recognition (ASR) and automated machine translation (AMT) technologies to asynchronous telepsychiatry may be a viable artificial intelligence (AI)-language interpretation option. OBJECTIVE: This project measures the frequency and accuracy of the translation of figurative language devices (FLDs) and patient word count per minute, in a subset of psychiatric interviews from a larger trial, as an approximation to patient speech complexity and quantity in clinical encounters that require interpretation. METHODS: A total of 6 patients were selected from the original trial, where they had undergone 2 assessments, once by an English-speaking psychiatrist through a Spanish-speaking human interpreter and once in Spanish by a trained mental health interviewer-researcher with AI interpretation. 3 (50%) of the 6 selected patients were interviewed via videoconferencing because of the COVID-19 pandemic. Interview transcripts were created by automated speech recognition with manual corrections for transcriptional accuracy and assessment for translational accuracy of FLDs. RESULTS: AI-interpreted interviews were found to have a significant increase in the use of FLDs and patient word count per minute. Both human and AI-interpreted FLDs were frequently translated inaccurately, however FLD translation may be more accurate on videoconferencing. CONCLUSIONS: AI interpretation is currently not sufficiently accurate for use in clinical settings. However, this study suggests that alternatives to human interpretation are needed to circumvent modifications to patients' speech. While AI interpretation technologies are being further developed, using videoconferencing for human interpreting may be more accurate than in-person interpreting. TRIAL REGISTRATION: ClinicalTrials.gov NCT03538860; https://clinicaltrials.gov/ct2/show/NCT03538860.

Video remote interpreting in clinical communication: A multimodal analysis.

OBJECTIVE: Investigating how the spatial and audiovisual conditions in video remote interpreting (VRI) shape communicative interaction in a language-discordant clinical consultation. METHODS: We conducted a multimodal analysis of an authentic VRI-mediated consultation with special reference to spatial arrangements, audiovisual conditions, and the healthcare professional's use of embodied communicative resources (body orientation, eye gaze, gestures). RESULTS: The physician is found to pursue his communicative goals for the consultation by first creating an appropriate spatial and technical environment and then supporting his information-giving and relationship-building actions through the use of nonverbal (embodied) resources like body orientation, gaze and gestures as well as specific turn-management behaviour. CONCLUSION: VRI allows healthcare professionals to access professional interpreters for language-discordant consultations but requires appropriate technical and spatial arrangements as well as users capable of adapting their communicative behaviour to spatial and audiovisual constraints. PRACTICE IMPLICATIONS: Alongside telephone interpreting, VRI is the solution of choice for language-discordant clinical encounters in times of the Covid-19 pandemic. Its use requires appropriate technical and spatial arrangements as well as specific skills on the part of healthcare professionals to cope with inherent audiovisual constraints.

False negative rate of COVID-19 PCR testing: a discordant testing analysis.

BACKGROUND: COVID-19 is diagnosed via detection of SARS-CoV-2 RNA using real time reverse-transcriptase polymerase chain reaction (rtRT-PCR). Performance of many SARS-CoV-2 rtRT-PCR assays is not entirely known due to the lack of a gold standard. We sought to evaluate the false negative rate (FNR) and sensitivity of our laboratory-developed SARS-CoV-2 rtRT-PCR targeting the envelope (E) and RNA-dependent RNA-polymerase (RdRp) genes. METHODS: SARS-CoV-2 rtRT-PCR results at the Public Health Laboratory (Alberta, Canada) from January 21 to April 18, 2020 were reviewed to identify patients with an initial negative rtRT-PCR followed by a positive result on repeat testing within 14 days (defined as discordant results). Negative samples from these discordant specimens were re-tested using three alternate rtRT-PCR assays (targeting the E gene and N1/N2 regions of the nucleocapsid genes) to assess for false negative (FN) results. RESULTS: During the time period specified, 95,919 patients (100,001 samples) were tested for SARS-CoV-2. Of these, 49 patients were found to have discordant results including 49 positive and 52 negative swabs. Repeat testing of 52 negative swabs found five FNs (from five separate patients). Assuming 100% specificity of the diagnostic assay, the FNR and sensitivity in this group of patients with discordant testing was 9.3% (95% CI 1.5-17.0%) and 90.7% (95% CI 82.6-98.9%) respectively. CONCLUSIONS: Studies to understand the FNR of routinely used assays are important to confirm adequate clinical performance. In this study, most FN results were due to low amounts of SARS-CoV-2 virus concentrations in patients with multiple specimens collected during different stages of infection. Post-test clinical evaluation of each patient is advised to ensure that rtRT-PCR results are not the only factor in excluding COVID-19.