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Consequence prediction is an emerging topic in safety management concerning the severity outcome of accidents. In practical applications, it is usually implemented through supervised learning methods; however, the evaluation of classification results remains a challenge. The previous studies mostly adopted simplex evaluation based on empirical and quantitative assessment strategies. This paper aims to shed new light on the comprehensive evaluation and comparison of diverse classification methods through visualization, clustering and ranking techniques.

An empirical study is conducted using 9 state-of-the-art classification methods on a real-world data set of 653 construction accidents in China for predicting the consequence with respect to 39 carefully featured factors and accident type. The proposed comprehensive evaluation enriches the interpretation of classification results from different perspectives. Furthermore, the critical factors leading to severe construction accidents are identified by analyzing the coefficients of a logistic regression model.

This paper identifies the critical factors that significantly influence the consequence of construction accidents, which include accident type (particularly collapse), improper accident reporting and handling (E21), inadequate supervision engineers (O41), no special safety department (O11), delayed or low-quality drawings (T11), unqualified contractor (C21), schedule pressure (C11), multi-level subcontracting (C22), lacking safety examination (S22), improper operation of mechanical equipment (R11) and improper construction procedure arrangement (T21). The prediction models and findings of critical factors help make safety intervention measures in a targeted way and enhance the experience of safety professionals in the construction industry.

The empirical study using some well-known classification methods for forecasting the consequences of construction accidents provides some evidence for the comprehensive evaluation of multiple classifiers. These techniques can be used jointly with other evaluation approaches for a comprehensive understanding of the classification algorithms. Despite the limitation of specific methods used in the study, the presented methodology can be configured with other classification methods and performance metrics and even applied to other decision-making problems such as clustering.

This study sheds new light on the comprehensive comparison and evaluation of classification results through visualization, clustering and ranking techniques using an empirical study of consequence prediction of construction accidents. The relevance of construction accident type is discussed with the severity of accidents. The critical factors influencing the accident consequence are identified for the sake of taking prevention measures for risk reduction. The proposed method can be applied to other decision-making tasks where the evaluation is involved as an important component.

The purpose of this paper is to review policy or guidance on the implementation of Section 5(4) written by NHS mental health trusts in England and health boards in Wales.

A Freedom of Information request was submitted to all trusts in England (n=57) and health boards in Wales (n=7) asking them to provide a copy of any policy or guidance on the implementation of Section 5(4). Documents were analysed using content analysis. Specific attention was given to any deviations from the national Mental Health Act Codes of Practice.

In total, 41 (67.2 per cent) organisations had a policy on the implementation of Section 5(4). There was a high level of consistency between local guidance and the Mental Health Act Codes of Practice. There were however; different interpretations of the guidance and errors that could lead to misuse of the section. Some policies contained useful guidance that could be adopted by future versions of the national Codes of Practice.

The research has demonstrated the value of examining the relationship between national and local guidance. Further research should be undertaken on the frequency and reasons for any reuse of the section.

Greater attention should be given to considering the necessity of local policy, given the existence of national Codes of Practice.

This is the only research examining the policy framework for the implementation of Section 5(4).

Purpose: The purpose of this paper is to scientifically test the credibility (proof or refutation) of the existing argument for a technological leap in the COVID-19 pandemic and the post-pandemic period.

Design/Methodology/Approach: The conducted review of existing sources of research literature showed that they have formed an insufficient scientific background for a clear understanding of digital deprivation of services, social contradictions and conflict management as components of technological leap amid the COVID-19 pandemic and in the post-pandemic period. To fill the identified gap in the system of scientific knowledge, this work uses the method of comparative analysis of statistical data. Some countries of the world, the EU countries and the United States, which are characterized by the largest population and the largest contribution of investments to the digitalization of value chains and the development of innovations, were selected as objects for this study.

Findings: Research has shown that rapid digitalization is impacting all aspects of life, including not only how value is created and exchanged, but also how we interact, operate, purchase and receive services. In this process, data and its international flows are becoming increasingly important for development. The usual digital gap associated with connectivity, reflecting significant differences between and within countries in readiness to use the power of data, is exacerbated by what might be termed the data gap. Countries with limited opportunities to transform digital data into digital analytics and entrepreneurial opportunities, and to use them for economic and social development, are obviously at a disadvantage.

Originality/Value: Digital data have been proven to be one of the top strategic assets for creating both private and public value. Our ability to meet the Sustainable Development Goals (The 2030 Agenda for Sustainable Development, 2015) depends a lot on how these data are applied. The idea of sustainable development arose, as it is known, for overcoming significant fluctuations in the positive transformation of society, and for the alignment in the pace and results of the transition of various countries to the post-industrial scenario of progress. There are many obstacles on the path of sustainable development, which hinder the transition to this vector of transformation. First, the gap in economic and social development between the countries of the ‘golden billion’ and many other countries has not been reduced. Second, the digital gap continues to deepen. But a new and extremely threatening danger on the path to the transition to sustainable development has become the global crisis caused by the COVID-19 pandemic that emerged in early 2020 and is still ongoing.

Determining the right course for the future is a difficult task, but its solution cannot be postponed. Data are multidimensional, and their use has an impact not only on trade and economic development but also on human rights, peace and security. In addition, measures should be taken to reduce the risk of misuse and unauthorized use of digital data by states, non-states or the private sectors to avoid the possibility of global social conflict.

Purpose: The paper aims to explore gender conflict as a factor of global technological inequality from a modelling and conflict management perspective through an analysis of women’s participation in science.

Design/methodology/approach: A review of the existing research literature has shown that there is an insufficient scientific basis for identifying the extent of gender conflict as a factor of global technological inequality through an analysis of women’s participation in science. Statistical data analysis is used to fill the identified gap in the scientific knowledge system. The countries chosen for study are those with the largest gender gaps and technological inequalities in terms of women’s participation in science and knowledge-intensive industries as well as in R&D.

Findings: The chapter reviews the factors that make the case, from an academic perspective, for the technological inequalities and gender gaps in the world leading to global employment conflict. The field of education encompasses numerous interrelated aspects, ranging from the level of demand and supply of educational opportunities to the access and delivery of education. These aspects also relate to the quality of teaching and the learning process, the effectiveness of the education system, individual learning outcomes, and the impact of education on the development and well-being of the individual, the community and the country as a whole. Scientific researchers make an important contribution to improving the quality of the education system: scientific research produces new knowledge further implemented through the education system. Such knowledge can improve people’s lives. Research is often carried out in universities, but also in the commercial sector, particularly in high-tech companies (Research and Development).

Originality/value: Education has been proven to be one of the resources that provide people with equal opportunities in life. Integrating a gender perspective into education includes assessing and promoting gender equality in learning opportunities available to men and women throughout their lives, especially during compulsory education. The gender approach also includes assessing the fairness of the delivery of educational services (such as training, management and course content).

Purpose: The purpose of this chapter is to scientifically verify the credibility (prove or disprove) the existing argument for the global technological inequality within the conflict of traditions and innovations, as well as from the perspective of social consequences of the innovative development of the economy and the basics of conflict management.

Design/methodology/approach: A review of existing sources of research literature has shown that they formed an insufficient scientific basis for determining the essence and scope of social consequences of the innovative development of the economy and the basics of conflict management in terms of global technological inequality. The method of comparative analysis of statistical data over time is used to fill the identified gap in the scientific knowledge system in this chapter. The top 10 countries of the world, which are characterized by the highest level of the innovative development of the economy, were chosen as the objects of study.

Findings: This chapter presents a review of facts determining that there are arguments for the conflict of traditions and innovations against the backdrop of global technological progress from a scientific perspective, a conflict that has social consequences for the innovative development of the economy and the basics of conflict management. Today, the protection and promotion of national interests are being increasingly determined by digitalization as the primary function of diplomatic services. For example, cybersecurity affects national security; web platforms support the economic well-being of citizens and companies; the Internet contributes to the development of healthcare, education and other essential social services, especially during the crisis caused by the COVID-19.

Originality/value: It is expected that wide introduction of high technologies in developed countries will reduce the competitive ability of currently less industrialized economies of Asia and Africa in terms of cost of labour, will increase the technological gap between them and developed countries that will diversify their economies and create more jobs. In the past, countries such as China, Mexico, Brazil and several Asian countries were climbing the income ladder, transferring labour force and capital from the relatively inefficient agricultural economy to the more efficient products and services. Today, there are fears that high technologies and Industry 4.0 will revolutionize these conventional development processes, making a thorny path even more thorny, and will lead to conflicts of traditions and innovations as a source of global technological inequality.