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Mapping the Neo-Manosphere(s): New Directions for Research
Get PDFIn a digital ecology that is increasingly conducive to social harms, misogynist ideology operates across a spectrum of primarily online actors known colloquially as ‘the Manosphere’. The manosphere and its associated red pill philosophy has now been around, in its current transnational and highly networked form, for over a decade. Yet
the manosphere, particularly in the context of Covid-19, influencer culture and the affordances of new social media sites, has evolved rapidly in this time, and scholarship has yet to adequately capture these developments. This paper begins with a stocktake of contemporary literature on the manosphere and its core themes, before evaluating the evolving status of this online ecosystem of anti-women actors. It advances our theoretical comprehension of the neo-manosphere and its likely future directions by
identifying and evaluating the four key developments which distinguish it from the earlier manosphere; namely migrations to new platforms, mainstreaming and monetization, ideological and ethnic diversification, and overlap with other extreme ideologies, most of which are driven by recommender algorithms
Trust Breach Dynamics: Exploring the Cognitive Affective Processing System in Active and Passive Responses to Breach
Get PDFLeadership trust breaches have attracted considerable attention in recent decades; however, the literature remains fragmented regarding the classification of trust breach events and their perceived severity from the follower’s perspective. While Social Exchange Theory, the dominant framework in trust research, explains post-breach behaviours such as reciprocity, it does not fully account for the nuanced dynamics underlying divergent responses, such as why some followers pursue reconciliation while others engage in avoidance or revenge. To address these gaps, this research program applies the Cognitive-Affective Personality System (CAPS) framework (Mischel & Shoda, 1995) as a meta-theoretical lens to investigate trust breaches and post-breach behaviours. CAPS integrates traits, motivations, contexts, and self-regulatory processes, offering a comprehensive lens to understand how these factors shape responses such as reconciliation, avoidance, and revenge. The program comprises three interrelated studies. Study 1 explores alignment of trust breach events, and types with the trustworthiness dimensions of Ability, Benevolence, and Integrity (ABI). Study 2 investigates the perceived severity of trust breaches and the influence of ABI dimensionality, finding that Integrity and ABI-combined breaches are perceived as more severe than those associated with Benevolence or Ability. Together, Studies 1 and 2
highlight the subjectivity of breach evaluations with findings regarding perceived severity broadly aligning with previous research. Study 3 examines how propensity to trust, perceived severity, and relational motivation, influence post-breach responses, through the examination of a moderated mediation model, highlighting the central role of self-regulatory processes in shaping reconciliation, avoidance, and revenge.
This research employs subject matter expertise and cross-sectional survey design to test hypotheses, including a moderated mediation model. It advances understanding of trust breach dynamics by revealing the interplay of motivations, cognitions, and affect in follower experiences of breaches
An autoethnographic study of ESL academic writing with ChatGPT: from psychological insights to the SUPER framework
Get PDFWhile the practical benefits of English as a Second Language (ESL) higher education (HE) students’ use of ChatGPT for academic writing have been explored, psychological factors remain under-investigated. This autoethnographic study examines how ESL HE students use ChatGPT to address psychological challenges in academic writing. Guided by Maslow’s hierarchy of needs and the concept of Escapism, this study provides a critical reflection on the author’s lived experience of academic writing challenges, first encountered during doctoral studies in the United States and continuing into an assistant professorship in Ireland. Data sources include a personal diary, work logs, notes from academic writing classes, and track-changed drafts annotated by writing tutors and editors. These materials were analysed using reflective thematic analysis to interpret the author’s experiences. Findings indicate that ChatGPT helps fulfil physiological and safety needs, fosters belonging, enhances self-esteem, and supports self-actualisation. Despite providing temporary psychological relief from writing challenges, concerns persist about overreliance and potential breaches of academic integrity. The study proposes a user-friendly SUPER framework comprising five interconnected principles to guide ESL HE students and general writers in ethically and effectively using ChatGPT. Researchers and practitioners are recommended to share, validate, and refine this framework
Tests of Manhood: Uncovering the History and Popularity of Stone Lifting in Ireland
Get PDFThe general public, both within Ireland and further abroad, has begun to take an interest in Irish lifting stones. A simple premise, lifting stones are historically significant stones which were typically lifted as tests of manhood within rural and fishing communities in Ireland. It is an Irish practice with global parallels in Europe and Asia. The popular history of this endeavour is currently being written with claims that this practice, once popular, was wiped out during the Great Famine. This article marks the first academic study of lifting stones in Ireland. It situates them in a domestic and global context, discusses the sources one can use in studying the topic and uses a combination of folklore, anthropology and fiction to evaluate known written sources on the topic. More importantly it highlights the multifaceted and gendered histories which can be told through this topic. The article thus seeks to do three things: first to raise awareness of the public histories being written on this topic, second to implore a more rigid groundwork for studying this practice and third to stress the value such an area has in the growing field of masculinity studies in Ireland
The challenge to care in outdoor education - what Forest School offers. A response to McKenzie and Blenkinsop (2006)
Get PDFThis paper responds to a challenge to develop our understanding of an ethic of care in outdoor and adventure education. We are teacher educators who want to promote flourishing for all, through outdoor learning in local nature, as part of everyday life in primary schools. Integral to this complex and challenging task is a relational ethic of care. Previous research has drawn upon Noddings ethic of care to theoretically frame curricula in the Outward Bound adventure education organisation, making explicit the priority to care integral to adventure education. However, ‘several difficulties’ with Noddings theory were acknowledged. Through the lens of contemporary place-responsive and more-than-human epistemology, we extend Noddings ethic of care to provide a theoretical framing for this work. We illustrate this theoretical framing and possibilities for organising curricula as centres of care using findings from a recent ethnography of Forest School in one primary school in Ireland
Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities
Get PDFUrban environments undergo continuous changes due to natural processes and human activities, which necessitates robust methods for monitoring changes in land cover and infrastructure for sustainable developments. Change detection in remote sensing plays a pivotal role in analyzing these temporal variations and supports various applications, including environmental monitoring. Many deep learning-based methods have been widely investigated for change detection in the literature. Most of them are typically regarded as per-pixel labeling and show their dominance, but they still struggle in complex scenarios with multi-scale features, imprecise & blurring boundaries, and domain shifts between temporal shifts. To address these challenges, we propose a novel DualStream Hybrid Architecture (DSHA) that combines the strengths of ResNet34 and Modified Pyramid Vision Transformer (PVT-v2) for robust change detection for smart cities. The decoder integrates a boundary-aware module, along with multiscale attention for accurate object boundary detection. For the experiments, we incorporated the LEVIR-MCI dataset, and the results demonstrate the superior performance of our approach by achieving an mIoU of 92.28% and an F1 score of 92.50%. Ablation studies highlight the contribution of each component by showing significant improvements in the evaluation metrics. In comparison with existing methods, DSHA outperformed the existing stateof-the-art methods on the benchmark dataset. These advancements demonstrate our proposed approach’s potential for accurate and reliable urban change detection, making it highly suitable for smart city monitoring applications focused on sustainable urban development
Transport Transitions: Advancing Sustainable and Inclusive Mobility Proceedings of the 10th TRA Conference, 2024, Dublin, Ireland - Volume 1: Safe and Equitable Transport
Get PDFWe are pleased to publish the Conference Proceedings of the 10th Transport Research Arena (TRA 2024), held on April 15–18, 2024, in Dublin, Ireland. The conference brought together 4500 delegates from 57 countries who came together to discuss research findings, the latest innovations in policy, technology and practice, and the future directions of mobility and transport
Block Encryption LAyer (BELA): Zero-Trust Defense Against Model Inversion Attacks for Federated Learning in 5G/6G Systems
Get PDFFederated Learning (FL) paradigm has been very popular in the implementation of 5G and beyond communication systems as it provides necessary security for the users in terms of data. However, the FL paradigm is still vulnerable to model inversion attacks, which allow malicious attackers to reconstruct data by using the trained model gradients. Such attacks can be carried out using generative adversarial networks (GANs), generative models, or by backtracking the model gradients. A zero-trust mechanism involves securing access and interactions with model gradients under the principle of “never trust, always verify.” This proactive approach ensures that sensitive information, such as model gradients, is kept private, making it difficult for adversaries to infer the private details of the users. This paper proposes a zero-trust based Block Encryption LAyer (BELA) module that provides defense against the model inversion attacks in FL settings. The BELA module mimics the Batch normalization (BN) layer in the deep neural network architecture that considers the random sequence. The sequence and the parameters are private to each client, which helps in providing defense against the model inversion attacks. We also provide extensive theoretical analysis to show that the proposed module is integratable in a variety of deep neural network architectures. Our experimental analysis on four publicly available datasets and various network architectures show that the BELA module can increase the mean square error (MSE) up to 194% when a reconstruction attempt is performed by an adversary using existing state-of-the-art methods
Quizzard@INOVA Challenge 2025 -- Track A: Plug-and-Play Technique in Interleaved Multi-Image Model
Get PDFThis paper addresses two main objectives. Firstly, we demonstrate the impressive performance of the LLaVA-NeXT-interleave on 22 datasets across three different tasks: Multi-Image Reasoning, Documents and
Knowledge-Based Understanding and Interactive MultiModal communication. Secondly, we add the Dense Channel Integration (DCI) connector to the LLaVA-NeXTInterleave and compare its performance against the standard model. We find that the standard model achieves the highest overall accuracy, excelling in vision-heavy tasks like
VISION, NLVR2, and Fashion200K. Meanwhile, the DCIenhanced version shows particular strength on datasets requiring deeper semantic coherence or structured change understanding such as MIT-States PropertyCoherence and SlideVQA. Our results highlight the potential of combining powerful foundation models with plug-and-play
techniques for Interleave tasks. The code is available at
https://github.com/dinhvietcuong1996/icme25-inova
The external dimensions of the European Green Deal
Get PDFIn 2019, the European Commission announced the ‘European Green Deal’ (EGD) (European Commission, 2019). Fundamentally, this broad policy package saw European Union (EU) institutions bolster their climate change mitigation commitments by agreeing to make the EU climate-neutral by 2050 with an interim target of reducing GHG emissions by at least 55% by 2030 compared to 1990 levels. In 2021, both targets were enshrined in the European climate law, which makes them binding for EU countries (European Commission: Directorate General for Communication, 2021). To meet these targets, the EU has planned a series of reforms across various sectors of the economy. Many of these reforms target greenhouse gas (GHG) emissions occurring beyond EU Member States’ borders and include provisions that seek to incentivize other countries and United Nations (UN) regulatory bodies to implement more ambitious climate policies. EU trade partners and scholars alike have expressed concerns about the impacts of these reforms on trade opportunities and cooperation on climate change, and have questioned their effectiveness in driving emission reductions and their alignment with equity-related principles of the international climate change regime (Böhringer et al., 2022; Dominioni & Esty, 2023; Kotzampasakis, 2023).
While the EGD posits a just transition as a core tenet, it is unclear what precisely a just transition means and which areas of the planet it includes. Ultimately, achieving a just transition will largely depend on how different EGD policies are designed, implemented, and enforced — both from a distributional and a procedural justice perspective. In this context, many questions remain around the power differentials in EU actions, the effectiveness and direction of diffusion of norms and policies, and where and how possible spaces for cooperation exist, amongst other things.
Work on the EGD has largely been undertaken amid significant socio-economic pressures and shifts in the international context, such as the Russian invasion of Ukraine, the energy crisis and subsequent high inflation, and the re-election of Trump to the White House. These have prompted additional action from the EU and its Member States to diversify energy sources, restructure global supply chains, and re-think the balance between climate action and competitiveness. As the EU works to navigate this new reality, the external dimensions of the EGD become even more relevant, as they provide new risks and opportunities to reshape diplomatic and trade relations between the EU and non-EU member states. In this context, this special issue contributes to the ongoing scholarly debate about the EGD and its external dimensions by building on three broad themes: power dynamics between the EU and third countries, policy diffusion, and international cooperation on climate change