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In Denmark, there has been, over decades, an intensified political focus on how humanities research and doctoral education contribute to society. In this vein, the notion of impact has become a central part of the academic language, often associated with terms like use, effects and outputs, stemming from neoliberal ideologies. The purpose of this paper is to explore how humanities academics are living with the impact agenda, as both experienced researchers and as doctoral supervisors educating the next generation of researchers in this post-pandemic era. Specifically, the authors are interested in the supervisor-researcher relationship, that is, the relationship between how the supervisors navigate the impact agenda as researchers and then the way they tell their doctoral students to do likewise.

The authors have studied how the impact agenda is accommodated by humanities academics through a series of qualitative interviews with humanities researchers and humanities PhD supervisors, encompassing questions of how they are living with the expectation of impact and how it is embedded in their university and departmental context.

The study shows that there is no link between how the supervisors navigate the impact agenda in relation to their own research work and then the way they tell their doctoral students to approach it. Within the space of their own research, the supervisors engage in resistance practices towards the impact agenda in terms of minimal compliance, rejection or resignation, whereas in the space of supervision, the impact agenda is re-inscribed to embody other understandings. The supervisors want to protect their students from this agenda, especially in the knowledge that many of them are not going to stay in academia due to limited researcher career possibilities. Furthermore, the paper reveals a new understanding of the impact agenda as having a relational quality, and in two ways. One is through a positional struggle, the reshaping of power relations, between universities (or academics) and society (or the state and the market); the other is as a phenomenon very much lived among academics themselves, including between supervisors and their doctoral students within the institutional context.

This study opens up the impact agenda, showing what it means to be a humanities academic living with the effects of the impact agenda and trying to navigate this. The study is mapping and tracking out the many different meanings and variations of impact in all its volatility for academics concerned about it. In current, post-pandemic times, when manifold expectations are directed towards research and doctoral education, it is important to know more about how these expectations affect and are dealt with by those who are expected to commit to them.

This study analyzes the advantages and disadvantages of the electoral mechanism of local education superintendents in South Korea, draws conclusions and makes suggestions for future reforms.

The research method of this study included document analysis and interviews. Document analysis was used to collect and analyze the relevant official documents of education superintendents across countries. Semi-structured interviews were conducted with four professors and two superintendents.

The results of the interviews indicate the following: 1) Korean stakeholders are getting more familiar with the direct election of superintendents, as the interviews indicate a more mature direct election system due to previous experience and public officials taking direct election into account; 2) The direct election of superintendents has advantages and disadvantages. The advantages include increasing the participation of the general public in education, and the disadvantages include conflict between the central government and local superintendents belonging to different political parties. However, the current system is likely to be retained; 3) The superintendent systems in various countries differ due to their respective traditions and social contexts. However, the authors can always learn lessons and implications from foreign countries if the authors compare their education systems with their foreign counterparts.

As far research limitations, although this was a small study, it shows the importance of collecting multiple stakeholders' views on the direct election of education superintendents as a basis for future reform of education management.

The Korean system for electing superintendents provides a good model for other countries reflecting on the educational autonomy and accountabilities of their own systems.

The direct election of superintendents provides an example of professionalism, independence and political neutrality in education that other countries can learn from. The separation of general and educational administration in Korea through direct elections protects educational activities from political influence.

In terms of originality/value, this study adds a new perspective to the debate about whether the general public should directly elect education superintendents, as well as to the literature on local education management.

This paper evaluates the precision of four metasearch engines (MSEs) – DuckDuckGo, Dogpile, Metacrawler and Startpage, to determine which metasearch engine exhibits the highest level of precision and to identify the metasearch engine that is most likely to return the most relevant search results.

The research is divided into two parts: the first phase involves four queries categorized into two segments (4-Q-2-S), while the second phase includes six queries divided into three segments (6-Q-3-S). These queries vary in complexity, falling into three types: simple, phrase and complex. The precision, average precision and the presence of duplicates across all the evaluated metasearch engines are determined.

The study clearly demonstrated that Startpage returned the most relevant results and achieved the highest precision (0.98) among the four MSEs. Conversely, DuckDuckGo exhibited consistent performance across both phases of the study.

The study only evaluated four metasearch engines, which may not be representative of all available metasearch engines. Additionally, a limited number of queries were used, which may not be sufficient to generalize the findings to all types of queries.

The findings of this study can be valuable for accreditation agencies in managing duplicates, improving their search capabilities and obtaining more relevant and precise results. These findings can also assist users in selecting the best metasearch engine based on precision rather than interface.

The study is the first of its kind which evaluates the four metasearch engines. No similar study has been conducted in the past to measure the performance of metasearch engines.

Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.

The purpose of this study is to examine the effects of market-based approach to provision of housing to low-income households in urban Malawi.

This study was conducted in Blantyre, Malawi, between 2019 and 2022 and used both quantitative (household survey) and qualitative (in-depth interviews and document study) methods of data collection. Interviews were conducted with key players and investors in the housing sector. Household survey data were analyzed through descriptive statistics, which allowed the generation of descriptive housing valuables, whereas qualitative data were analyzed through content analysis.

This paper demonstrates that, rather than ameliorating the housing problems facing low-income households, the market approach to provision of housing in Malawi has worsened the housing situation in the country. This is so because the market approach to the provision of housing in Malawi is not only enforcing the logic of capitalistic accumulation in the housing sector but also supporting mechanisms of exclusion based on economic stratification within the community.

Completeness of data over time as there is no market data bank available in the country.

The findings from this study suggest that some degree of state intervention in addressing the housing problem in Malawi is required.

The study findings suggest that a market approach to the provision of housing can increase social inequality as low-income households face challenges in accessing housing.

There is a paucity of research on the effects of the market approach on the provision of affordable housing to low-income households in Malawi. This paper assesses this important policy gap and provides significant policy directions.

The case evolves around the Powerball lottery and the rule changes implemented in 2015, which, among other things, changed the chances of winning the jackpot from 1 in 175 million to 1 in 292 million. What is the impact of such rules on lottery revenues? The expected value rule is unable to explain why people play in the first place and fails to give the appropriate weight to the factors that explain the attractiveness of a lottery. This case is ideal to introduce the notion of decision weights as put forward by Kahneman and Tversky's prospect theory. By calculating decision weights, we obtain a reasonable prediction for the willingness to pay for the lottery as a function of different jackpot amounts. Using past data, we can correlate lottery revenues with predicted willingness to pay for a ticket. Quantitative-inclined audiences can then develop a simulation model of how likely it is that the jackpot grows, which, coupled with the prediction of revenues as a function of the jackpot, would give the evolution of the revenues under the new rule. The accompanying spreadsheet provides data for students to work out various scenarios to narrow objectives and maximize revenue from Powerball tickets.

The purpose of this paper is twofold: (1) to map and analyze existing complexity typologies and (2) to develop a framework for characterizing complexity-based approaches.

This study was conducted in three stages: (1) initial identification of typologies related to complexity following a structured procedure based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol; (2) backward and forward review to identify additional relevant typologies and (3) content analysis of the selected typologies, categorization and framework development.

Based on 17 selected typologies, a comprehensive overview of complexity studies is provided. Each typology is described considering key concepts, contributions and convergences and differences between them. The epistemological, theoretical and methodological diversity of complexity studies was explored, allowing the identification of the main schools of thought and authors. A framework for characterizing complexity-based approaches was proposed including the following perspectives: ontology of complexity, epistemology of complexity, purpose and object of interest, methodology and methods and theoretical pillars.

This study examines the main typologies of complexity from an integrated and multidisciplinary perspective and, based on that, proposes a novel framework to understanding and characterizing complexity-based approaches.

This study aims to demonstrate what myths of and about science are reproduced in this popular cultural work (movie – “Oppenheimer”). This is done by examining the unconscious hegemonic positions supported by the reproduction of stereotypical and mythical images of science.

Content/Text Analysis: The conceptual analysis of a cultural text – a film (“Oppenheimer”) – through a theoretical apparatus (B. Latour’s theory).

The film demonstrates its reproduction of three distinct elements. Firstly, it exhibits classic scientistic clichés pertaining to technoscience. Secondly, it highlights the replication of the individualized monomyth about the (super) hero, leading to the exclusion of the intricate conditions of technoscience’s existence. Lastly, the film aligns with the Californian ideology, as proposed by Barbrook.

The value of the text is twofold: (1) To show that the classical approaches of Bruno Latour are still relevant. (2) To show what hidden premises and myths about technoscience are being propagated through a work of pop culture (the film “Oppenheimer”) and, in effect, to show what kind of influence of cultural hegemony is at work here.