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Netflix's short-lived Gothic sci-fi psychological thriller 1899 tells of the discovery of a ghost ship by a steam-liner bound for America. All aboard are tested by unexplained deaths, visions of past traumas and impossible events. 1899 exemplifies what Mittell calls ‘drillable media’ (2009), contemporary elaborate and inventive serial TV narratives which encourage the viewer into active reception, rewarding forensic deconstruction and analysis.

The creators sprinkle references to Classical mythology and philosophy throughout 1899, inviting literate, active consumers to use them in forensic reception. Featuring an ensemble cast of 20 principal characters, 1899 offers a variety of ‘masculine’ representations, and all can be described as Gothic. These characters are understood and enhanced through consideration of the allusions to Classical mythology in the text. These echoes enhance and shape the Gothic masculine representations in 1899. Furthermore, the female protagonist is imbued with counter-typical hegemonic gender traits and her connections to mythic and literary characters encourage a questioning of her status as hero.

With reference to Classical reception and Gothic studies, textual analysis and online analytical discourses posted by fans of 1899, this chapter explores the interplay between Gothic male representations, ‘masculine’ traits and allusions to mythology, employing both to create a television series which is both timeless and contemporary.

The purpose of this study is to explore the review mechanisms’ efficacy from the perspective of cold case reviewers. Live homicide review mechanisms at the 7- and 28-day stage of an inquiry seek to prevent the case becoming cold (or unsolved) by ensuring lines of inquiry have been suitably identified and progressed. There is also a requirement to ensure the investigation was not swayed by faulty decision-making or cognitive biases. However, the use of the review processes in preventing unsolved cases is unclear, and not subject to much academic discussion.

This exploratory study explores the review functions through the lens of cold case detectives, currently reviewing unsolved cases to identify progression opportunities. The study uses data from a seven-month, non-participatory observation period with a two-force collaborative cold case unit and 13 semi-structured interviews with cold case review officers. The observations and interviews were simultaneously analysed adhering to an inductive approach to Thematic Analysis.

The results show procedural guides (e.g. the Major Crime Investigation Manual) are important quality assurance mechanisms for review officers, helping ensure the appropriate and necessary lines of inquiry have been pursued. However, they were keen to emphasise the importance of intuition in progressing cases but felt continuously hindered by a lack of resources and large numbers of applicable cases. To the best of the authors’ knowledge this study is the first exploration of cold case detective’s experiences of the live review processes and how they may pose challenges in case progression for cognitive errors and biases. While the study has identified some challenges facing review officers in nine police forces across the UK, wider examination of policies, practices and mechanisms should be explored to develop the current procedural guidance (e.g. NPCC, 2021).

To the best of the authors’ knowledge this exploratory study is the first exploration of cold case detective’s experiences of the live review processes and how they may pose challenges in case progression for cognitive errors and biases. While the study has identified some challenges facing review officers in nine police forces across the UK, wider examination of policies, practices and mechanisms should be explored to develop the current procedural guidance (e.g. NPCC, 2021).

The principal aim of this research is to acquire a deeper understanding of the opinion held by the training and development (T&D) professionals, regarding the use of artificial intelligence (AI) technology in the area of T&D. Particularly in response to the evolving needs of learners, the research aims to ascertain T&D professionals' perspective on the efficiency of AI in fostering T&D, while understanding the constraints and limitations associated with this technology.

The study is based on qualitative data. With the help of semi-structured interviews, qualitative data has been collected from 21 T&D professionals. Experts working with multinational corporations (MNCs) are selected as a study sample using a convenient sampling technique. Qualitative data were analysed using thematic analysis. Conclusions were drawn based on the results of thematic analysis.

The findings of the study have revealed a notable and rapid evolution in the requirements of learners, particularly during and post-COVID-19 period. AI-based technology has emerged as a significant contributor, offering learners distinct personalised experiences and enhanced convenience. However, the implementation of AI in training remains in its early stages and has not reached widespread adoption. The findings of the study also highlighted various challenges and limitations, while using AI-based technology for training. It has been found that AI complements rather than replaces the role of a physical trainer.

The originality of this study lies in the application of AI-based training for professional learners, from the perspective of the T&D practitioners working with MNCs in Maharashtra, India. Numerous studies that have recently been published, emphasise the areas in which AI technology can transform the T&D industry. Yet, there are currently very less studies that have attempted to understand the evolving needs of learners and support of AI-based training for the same, from the perspective of the T&D professionals working in Maharashtra, India.

Forcibly displaced refugee entrepreneurs face extra challenges that are beyond the barriers that face immigrants and hosts in their journey towards starting up, growing and developing their businesses. This study aims to critically examine the opportunity identification (OI) of forcibly displaced refugee minority women entrepreneurs in Glasgow.

Qualitative semi-structured face-to-face interviews with 10 participants were conducted, including 6 forcibly displaced women entrepreneurs and 4 stakeholders. A six-step thematic framework for data analysis with NVivo 11 was used.

Findings revealed that forcibly displaced refugee women’s entrepreneurial opportunities occur through a dynamic identification, discovery, recognition and exploitation of opportunities. Women-led businesses remain underdeveloped due to restrictions imposed by the Scottish Government, Westminster Government and local council authorities.

This study was only conducted in Glasgow areas, although this is where most of the forcibly displaced groups live. The research team suggests that further studies with a large sample cutting across more local authorities beyond Glasgow should be conducted.

The empirical findings serve practitioners, local authorities business managers, researchers and policymakers. The study reveals a gap and lack of support and specific training and programmes that could positively benefit forcibly displaced refugee women entrepreneurs within the host communities.

The novelty of this study lies in the research topic which is still understudied. This is together with the new empirical findings of entrepreneurial OI and the provision of insights related to challenges facing forcibly displaced refugee women entrepreneurs in Glasgow.