In a culture of fear, we should expect the rise of new mechanisms of social control to deflect distrust, anxiety, and threat. Relying on the analysis of popular and academic texts, we examine one such mechanism, the label conspiracy theory, and explore how it works in public discourse to “go meta” by sidestepping the examination of evidence. Our findings suggest that authors use the conspiracy theorist label as (1) a routinized strategy of exclusion; (2) a reframing mechanism that deflects questions or concerns about power, corruption, and motive; and (3) an attack upon the personhood and competence of the questioner. This label becomes dangerous machinery at the transpersonal levels of media and academic discourse, symbolically stripping the claimant of the status of reasonable interlocutor—often to avoid the need to account for one's own action or speech. We argue that this and similar mechanisms simultaneously control the flow of information and symbolically demobilize certain voices and issues in public discourse.

Electrocardiogram (ECG)-based detection of left ventricular systolic dysfunction (LVSD) has poor specificity and positive predictive value, even when including major ECG abnormalities, such as left bundle branch block (LBBB) within the criteria for diagnosis. Although machine-read ECG algorithms do not provide information on LVSD, advanced ECG (A-ECG), using multiparameter scores, has superior diagnostic utility to strictly conventional ECG for identifying various cardiac pathologies, including LVSD. Methods: We evaluated the diagnostic utility of A-ECG in a case-control study of 40 patients with LVSD (LV ejection fraction < 50% by echocardiography), due to non-ischemic cardiomyopathy (NICM), and 39 other patients without LVSD. Diagnostic sensitivity and specificity for LVSD were determined after applying a previously validated probabilistic A-ECG score for LVSD to stored standard (10 s) clinical 12L ECGs. In 25 of the NICM patients who had serial ECGs and echocardiograms, changes in the A-ECG score versus in echocardiographic LV ejection fraction were also studied to determine the level of agreement between the two tests. Results: Analyses by A-ECG had a sensitivity of 95% for LVSD (93% if excluding N = 11 patients with LBBB) and specificity of 95%. In the 29 NICM patients without LBBB who had serial ECGs, sensitivity improved to 97% when all ECGs were considered. By comparison, human readers in a busy clinical environment had a sensitivity of 90% and specificity of 63%. A-ECG score trajectories demonstrated improvement, deterioration or no change in LVSD, which agreed with echocardiography, in 76% of cases (n = 25). Conclusion: A-ECG scoring detects LVSD due to NICM with high sensitivity and specificity. Serial A-ECG score trajectories also represent a method for inexpensively demonstrating changes in LVSD. A-ECG scoring may be of particular value in areas where echocardiography is unavailable, or as a gatekeeper for echocardiography.

In the literature on conspiracy theories, the least contentious part of the academic discourse would appear to be what we mean by a “conspiracy”: a secretive plot between two or more people toward some end. Yet what, exactly, is the connection between something being a conspiracy and it being secret? Is it possible to conspire without also engaging in secretive behavior? To dissect the role of secrecy in conspiracies – and thus contribute to the larger debate on the epistemology of conspiracy theories – we define the concepts of “conspiracy,” “conspirator,” and “secret,” and argue that while conspirators might typically be thought to commit to keeping secrets once their conspiracy is underway, the idea that conspiracies are necessarily secretive to start with is not as obvious as previously thought.

Purpose -This paper aims to show how systems thinking can be incorporated in action research (AR) interventions to successfully implement organizational change. The two case studies described in this paper would be useful to managers who want to implement change in their own organizations. Design/methodology/approach -Both projects used AR as the methodology due to its flexible, responsive and emergent nature. In one project, there was a deliberate attempt to incorporate soft systems thinking whereas in the other project soft systems thinking was used as a sense-making process while carrying out AR. As an added benefit both approaches have resulted in successful completion of doctoral research. Findings -Soft systems methodology (SSM) and AR can both help in addressing ill-structured problems faced by managers, in collaboration with stakeholders using questioning and reflection. Both lead to an increased understanding about the problem situation. The difference is that SSM uses a more structured approach while AR is emergent in its application. SSM practitioners advocate that action researchers would benefit by declaring in advance an intellectual framework to guide their research. This has the additional benefit of overcoming obstacles in an academic environment where research processes are still governed based on traditional research methods. Practical implications -The ideas presented in the paper could be particularly useful to a practice-based discipline such as project management where research into its practice is in demand. Originality/value -This paper would be useful to managers interested in a rigorous methodology to implement organizational change in addressing business problems. It demonstrates ways of combining SSM and AR, resulting in a powerful research tool to carry out rigorous research.