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The post-truth moment comes at a time of deference for epistemic authority, which has serious implications for democracy. If democracy implies an epistemology, attempting to live a democratic way of life implies a theory about the nature of knowledge among other theoretical aspects (e.g. political and ethical). At the time of ‘fluid modernity’, the post-truth politics of renouncing truth damages the foundations of democracy, for how could we proceed with a democratic way of life without truth as a common denominator for deliberation? While a defining feature of the post-truth era is its intrinsic relativism, Gellner (2013) warns this could lead to ‘cognitive nihilism’. Thus, it is imperative to (i) find our way back to reasonableness (based on both reason and emotions) based on a Freirean dialogic middle ground, instead of renouncing truth (that is any notion of truth), and (ii) critically discuss possibilities for various approaches to truth-seeking. While it is important to question the foundation and reasonableness of truth, two crucial issues arise: which theory of knowledge and whose theory of knowledge should be accepted as the epistemological basis of truth? Moreover, this chapter will argue that a more plausible notion of truth is neither one that is based on intrinsic objectivity nor intrinsic relativism, but one that is based on the relationship between objectivity and subjectivity; that is a relational (nor relative) and dialectic understanding of truth which does not rule out the existence of facts but questions the political constructs of facts. The final section of the chapter focuses on the application of the understanding of truth as a relational dialogical epistemology. While arguing for a dialogical theory of truth, the chapter also problematizes the predominant view of evidence-based research and policy and offers an in-depth discussion of how our understanding of the relational dialogical notion of truth can be utilized in the analysis of cases involving pro-active discrimination and affirmative action.

Purpose – This chapter examines how structural dynamics of the global mining industry condition and limit the positive impacts of corporate responsibility and sustainable development strategies, despite considerable efforts on the part of both the Canadian government and the global mining industry to promote the twin concepts.

Methodology/approach – The chapter reviews current literature highlighting the structural elements of corporate irresponsibility in the mining industry, arguing for a radical reconceptualization of governance in the mining industry based on four dimensions of responsibility and backed by a flexible and robust international legal framework.

Research/practical implications – This chapter presents practical implications for improving policy for and regulation of mining companies, Canadian or otherwise, with international operations. While further research needs to be undertaken to explore in more detail the ideal roles of different actors in a system of international governance, this chapter provides a theoretical framework for integrating four dimensions of responsibility into a governance framework that can address the systemic dynamics of organized irresponsibility in the mining industry.

Looks at an aircraft engine manufacturer’s use of an electronic system to enhance an existing product. During the early 1990s Rolls‐Royce studied the changing military market and compared its range of engines with potential business opportunities. The trainer/light combat powerplant was one area where there was potential to develop its position. As a result of the continuing success of the BAe Hawk and Boeing Goshawk aircraft and the expectation of new sales well into the next century, the decision was taken to launch a new version of the Adour engine. Thus in 1996 Rolls‐Royce launched the Adour 900, based on the current, well‐proven Mark 871, but offering thrust growth, improved life cycle costs and enhanced functionality. Central to the concept of the Adour 900 is a new Full Authority Digital Engine Controller with integrated Engine Health Monitoring. Examines the features of the FADEC and EHM System, showing how they have been tailored to meet the needs of a modern trainer aircraft without sacrificing retrofit capability. Attention is also given to the development process which had to ensure the demanding design targets were met within the cost and timescale constraints.

The aims of this paper are: to explore the nature of political risk insurance (PRI) contracts as a form of regulation in the context of mining projects in developing countries; to examine how PRI providers factor corporate social responsibility (CSR) policies and practices of applicants in their initial decisions to provide PRI; to examine how CSR criteria are reflected in the terms of PRI contracts; to understand how failure to exercise good CSR practices by recipients of PRI affects insurance coverage; to shed light on how good CSR practices which minimize risk to companies and communities can be or are rewarded through PRI contracts; to identify opportunities for reform.

This article adopts a conceptual approach through analysis of the practical effects and public policy implications associated with use of PRI contracts as a regulatory mechanism to promote good CSR practices.

PRI contracts represent a form of proactive risk management used by investors. Because of the significant regulatory effect of the CSR provisions of PRI contracts provided by state‐based agencies, there is considerable potential for and value associated with greater transparency in the implementation of such contracts.

This article sheds light on the regulatory dimensions associated with the CSR provisions of PRI contracts. This represents a new contribution to the literature on CSR contracts, which until this point has focused largely on the CSR aspects of supply chain contracts.

Government primary schools in Australia increasingly take up the International Baccalaureate's Primary Years Programme (IB-PYP) to supplement government-mandated curriculum and governance expectations. The purpose of this paper is to explore how teachers navigate and contest dual policy-practice expectations in the Victorian Government IB-PYP context.

This study used a narrative inquiry approach. The narratives of two teachers were generated through a narrative interview and then re-storied with participants through a set of conceptual lenses drawn out of the policy assemblage and affect studies theoretical spaces.

The stories participants told show that competing mandatory local policy expressions are experienced and contested both to stabilize a technocratic rationality and produce alternative critical-political educational futures.

There a few accounts of teachers' policy experience in government school settings implementing the IB-PYP. In addressing this gap, this paper directly responds to prior claims of the IB's failure to promote an emancipatory pedagogy, showing instead that when teachers who bring a more critical understanding of educational purpose to their work take up the IB-PYP policy to support the enactment of that purpose.

There have been numerous publications on human monkeypox since it was reported. With the help of bibliometric analysis, this study examined research hotspots and future trends related to human monkeypox. Science mapping was used in this study to identify influential monkeypox researchers, institutions, articles, keywords, thematic structures, and clusters of articles.

Based on a validated search query, bibliometric analysis of data collected from Web of Science from 1989 to September 2022 was conducted. Using the “Title-Keyword-Abstract” search option, the search query consisted of keywords “Monkeypox” OR “Monkeypox virus” OR “monkeypox” OR “monkey pox” OR “MPXV.” With the state-of-the-art tools Bibliometrix package of R Studio and VOSviewer, performance analysis and science mapping, as a part of standard bibliometric research of monkeypox research were conducted.

Researchers published 708 monkeypox papers from 1989 to September 2022, with American researchers publishing 460 papers. Further, USA had the highest international cooperation in terms of collaborative research output. Centers for Disease Control and Prevention (CDC) is a global leader in monkeypox research since it is the most prolific and collaborative organization. There have been the most published papers on monkeypox in the Journal of Virology. Damon Inger K is also the most prolific and influential researcher in monkeypox research, with the highest number of publications and citations. In total, 1,679 keywords were identified in the study. From the cluster analysis four themes were identified in monkeypox research. They are (1) clinical features, (2) monkeypox virus epidemiology, (3) monkeypox virus vaccine defense, and (4) monkeypox virus-related treatment measures.

Analysis of collaboration, findings, networks of research, and visualization separates this study from traditional metrics analysis. Currently, there are no similar studies with similar objectives based on the authors' knowledge.

Increasingly, dynamic market environments lead to growing complexity in manufacturing and pose a severe threat for the competitiveness of manufacturing companies. Systematic guidance to manage this complexity, especially in the context of Industry 4.0 and the therewith rising trends such as digitalization and data-driven production optimization, is lacking. To address this deficit a case-based reasoning (CBR) system for providing knowledge about managing complexity in Industry 4.0 is presented.

First, the explicit knowledge representation for managing complexity in IT-based manufacturing is introduced. Second, the CBR process step to retrieve knowledge from an artificially composed case base with in total 70 cases of data-based complexity management in the context of Industry 4.0 is set out. Third, knowledge transfer alongside several maturity levels of information technology capabilities of manufacturing systems for reuse in new problem scenarios is introduced.

The paper comprises the conceptual approach for designing a CBR system to support data-based complexity management in manufacturing systems. Furthermore, the appropriateness of the CBR system to provide applicable knowledge for reducing and managing complexity in corporate practice is shown.

The presented research results are evaluated in the course of an embedded single case study and may therefore lack generalizability. Future research to test and enhance the appropriateness of the developed CBR system will strengthen the research contribution.

The paper provides a novel approach to systematically support knowledge transfer for data-based complexity management by transferring the well-known and established methodology of CBR to the rising application domain of manufacturing systems in the context of Industry 4.0.

The objective of this research is to measure Chinese students' progress in gaining new vocabulary in Spanish at the B1 level after using the serious video game Guadalingo.

A group of 30 Chinese students participated in an experiment, in which 16 of them played Guadalingo; the other 14 were used as the control group. The experimental group played five lessons of the video game in a period of 10 days. Before and after the lessons, students were tested on their knowledge of the vocabulary from these units.

Results have shown that the use of Guadalingo helped these students to enhance their knowledge of the target vocabulary by 17.40% after the completion of the missions.

Based on our result, the use of video games seems to be a suitable and great support to the foreign language classroom, and the use of Guadalingo could be considered a valuable tool for this purpose.

Flood preparedness and response from the perspective of community engagement mechanisms have been studied in scholarly articles. However, the differences in flood mitigation may expose social and behavioural challenges to learn from. This study aimed to demonstrate how text mining can be applied in prioritising existing contexts in community-based and government flood mitigation and management strategies.

This investigation mined the semantics researchers ascribed to flood disasters and community responses from 2001 to 2022 peer-reviewed publications. Text mining was used to derive frequently used terms from over 15 publications in the Scopus database and Google Scholar search engine after an initial output of 268 peer-reviewed publications. The text-mining process applied the topic modelling analyses on the 15 publications using the R studio application.

Topic modelling applied through text mining clustered four (4) themes. The themes that emerged from the topic modelling process were building adaptation to flooding, climate change and resilient communities, urban infrastructure and community preparedness and research output for flood risk and community response. The themes were supported with geographical flood risk and community mitigation contexts from the USA, India and Nigeria to provide a broader perspective.

This study exposed the deficiency of “communication, teamwork, responsibility and lessons” as focal themes of flood disaster management and response research. The divergence in flood mitigation in developing nations as compared with developed nations can be bridged through improved government policies, technologies and community engagement.

When there are few treated clusters in a pure treatment or difference-in-differences setting, t tests based on a cluster-robust variance estimator can severely over-reject. Although procedures based on the wild cluster bootstrap often work well when the number of treated clusters is not too small, they can either over-reject or under-reject seriously when it is. In a previous paper, we showed that procedures based on randomization inference (RI) can work well in such cases. However, RI can be impractical when the number of possible randomizations is small. We propose a bootstrap-based alternative to RI, which mitigates the discrete nature of RI p values in the few-clusters case. We also compare it to two other procedures. None of them works perfectly when the number of clusters is very small, but they can work surprisingly well.