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    Teagasc agus Foghlaim na Gaeilge i Scoileanna Meán-Bhéarla. Léirbhreithniú ar an Litríocht agus Dearcthaí na bPáirtithe Leasmhara Náisiúnta. Tuarascáil 1: I dTreo Plean Gnímh don Ghaeilge i Scoileanna Meán-Bhéarla.

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    Is é SEALBHÚ, Lárionad Taighde OCBÁC um Fhoghlaim agus Teagasc na Gaeilge, a d’ullmhaigh an tuarascáil seo mar chuid de phróiseas comhairliúcháin a bhfuil sé mar aidhm aige tacú le Plean Gnímh don Ghaeilge i Scoileanna Meán-Bhéarla a fhorbairt. Seo an chéad cheann den dá thuarascáil atá coimisiúnaithe ag an Aonad Gaeilge um Scoileanna MeánBhéarla (AGSMB) sa Roinn Oideachais agus Óige (ROÓ). Bunaíodh an taighde a rinneadh don tuarascáil seo ar na trí phríomhphrionsabal thíos, a bheidh mar threoir don Phlean Gnímh don Ghaeilge: I. an tábhacht a bhaineann le meon dearfach a chothú i leith na Gaeilge II. gealltanas chun úsáid na Gaeilge a mhéadú III. beartais, gníomhaíochtaí, struchtúir agus acmhainní a chomhtháthú le chéile. Tá trí phríomhchuid sa tuarascáil: ● Cuid A: Léirbhreithniú ar an Litríocht; tugtar eolas sa chuid seo ar thorthaí ardleibhéil a bhaineann le taighde, teoiric agus cleachtas a bhí ann cheana agus atá ábhartha don chomhairliúchán reatha. ● Cuid B: Torthaí na Chéad Ócáide a Reáchtáladh leis na Páirtithe Leasmhara; tugtar eolas anseo ar phríomhthorthaí na chéad ócáide comhairliúcháin a reáchtáladh i bPáirc an Chrócaigh in Eanáir 2025. ● Cuid C: Moltaí ó Chruinnithe Déthaobhacha/Iltaobhacha leis na Páirtithe Leasmhara; tugtar eolas sa chuid seo ar na príomh-mholtaí a rinne na páirtithe leasmhara sa tsraith cruinnithe déthaobhacha/iltaobhacha a tionóladh ag deireadh an chomhairliúcháin in Aibreán/Bealtaine 2025. Ba chóir an tuarascáil seo a léamh i gcomhar leis na torthaí a léirítear i dTuarascáil 2 (Burke et al., 2025). Sa tuarascáil sin, déantar plé ar thuairimí na bpáirtithe leasmhara scoilbhunaithe, i.e., páistí, daoine óga, múinteoirí, múinteoirí faoi oiliúint, príomhoidí agus tuismitheoirí/caomhnóirí

    DCU Educational Disadvantage Centre’s Inclusive Systems and Inclusive Arts Education Key Principles: A Strategic Framework for Fighting Words’ Poverty and Social Inclusion Commitments.

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    Fighting Words is an Irish charitable organisation dedicated to providing opportunities to develop creativity and writing skills among individuals of all ages. Co-founded in 2009 by author Roddy Doyle and Seán Love, the organisation provides free mentoring in creative writing. Its programmes are designed to help participants harness the power of their own imaginations and develop their writing abilities. The organisation explicitly seeks to empower and strengthen children and teenagers from all backgrounds to be resilient, creative and successful shapers of their own lives. Fighting Words offers a range of creative opportunities, including primary and secondary school workshops, summer camps, writing clubs, extended projects and specialised programmes for adults and groups with special or diverse needs. By collaborating with schools and communities across Ireland, Fighting Words aims to make creative writing accessible to all, nurturing a culture of storytelling and imagination

    De-mystifying the 'Cinderella' leadership model: Premia in the practice of curriculum leadership

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    This qualitative research study explores the concept of curriculum leadership and how it is exercised by a multitude of actors at the school microlevel. Curriculum leadership has been recognised internationally as an under-researched leadership model that has frequently been confused with, and subsumed into, other general leadership models. Applying a multi-site, embedded case study approach within the Irish special school sector, this paper delineates how curriculum leadership is enacted across different positional levels within schools. Data were gathered from sixteen participants (n=16), occupying the roles of principal, curriculum coordinator and unpromoted teacher, across three schools (n=3). The findings evidenced two curriculum leadership premia that amplified the influence of those teachers in possession of either or both of them. First, principalship, or positional proximity to the principal, provided greater agency in exercising curriculum leadership. Second, the more experience a teacher had, the more professional capital it provided them with in influencing colleagues over how the curriculum should be enacted within the school. This paper provides important insights on how teachers leverage influence at school-level and also elucidates how distributed leadership manifests in relation to the curriculum

    Minor placenames in Ireland: a guide to promoting and facilitating ‘citizen humanities’ in safeguarding intangible cultural heritage

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    The project aims to encourage a ‘citizen humanities’ approach in facilitating volunteers or ‘citizens’ in sharing their expertise and recording their knowledge of minor placenames they are familiar with. The information will be stored on the Meitheal Logainm website, established in 2016 as a platform for recording minor placenames

    Analysing kinematic data from recreational runners using functional data analysis

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    We present a multivariate functional mixed effects model for kinematic data from a large number of recreational runners. The runners’ sagittal plane hip and knee angles are modelled jointly as a bivariate function with random effects functions accounting for the dependence among bilateral measurements. The model is fitted by applying multivariate functional principal component analysis (mv-FPCA) and modelling the mv-FPCA scores using scalar linear mixed effects models. Simulation and bootstrap approaches are introduced to construct simultaneous confidence bands for the fixed effects functions, and covariance functions are reconstructed to summarise the variability structure in the data and thoroughly investigate the suitability of the proposed model. In our scientific application, we observe a statistically significant effect of running speed on both joints. We observe strong within-subject correlations, reflecting the highly idiosyncratic nature of running technique. Our approach is applicable to modelling multiple streams of smooth biomechanical data collected in complex experimental design

    Capturing Bias Diversity in LLMs

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    This paper presents research on enhancements to Large Language Models (LLMs) through the addition of diversity in its generated outputs. Our study introduces a configuration of multiple LLMs which demonstrates the diversities capable with a single LLM. By developing multiple customised instances of a GPT model, each reflecting biases in specific demographic characteristics including gender, age, and race, we propose, develop and evaluate a framework for a more nuanced and representative AI dialogue which we call BiasGPT. The customised GPT models will ultimately collaborate, merging their diverse perspectives on a topic into an integrated response that captures a broad spectrum of human experiences and viewpoints. In this paper, through experiments, we demonstrate the capabilities of a GPT model to embed different biases which, when combined, can open the possibilities of more inclusive AI technologies

    Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey

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    Taking an interdisciplinary approach to surveying issues around gender bias in textual and visual AI, we present literature on gender bias detection and mitigation in NLP, CV, as well as combined visual-linguistic models. We identify conceptual parallels between these strands of research as well as how methodologies were adapted cross-disciplinary from NLP to CV. We also find that there is a growing awareness for theoretical frameworks from the social sciences around gender in NLP that could be beneficial for aligning bias analytics in CV with human values and conceptualising gender beyond the binary categories of male/female

    Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset

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    Objective: Cochlear implants (CIs) are bionic prostheses that restores hearing via electrical stimulation of the auditory nerve. Hybrid CIs, which use electroacoustic stimulation (EAS), combine residual low-frequency acoustic hearing with CI electrical stimulation. Intracochlear fibrosis, which forms in response to the presence of the implant, may impede residual hearing function and gradually reduce the efficacy of EAS. It is therefore a translational objective to study the formation of cochlear fibrosis in rodents, with the goal of reducing fibrotic burden and improving outcomes for CI patients. Methods: We generate and annotate a novel dataset of optical coherence tomography (OCT) images from chronically implanted guinea pigs as part of an ongoing study focused on implant induced fibrosis. Objectively assessing fibrotic burden in this model, with high resolution and repeatability, presents an obvious use case for computer-vision methods. Results: We present the results of several state-of-the-art semantic segmentation models and compare their efficacy for identifying cochlear fibrosis and other relevant annotations, using a new library of manually segmented OCT images. Conclusions: We find that the best performance is achieved by using a modified version of the well-known UNET architecture (which we term 2D-OCT-UNET) that operates on the upscaled OCT input resolution. Significance: For the first time, we have successfully applied computer vision techniques to an OCT dataset of implanted cochleae with fibrosis. Using this deep learning model, the cochlear fibrotic burden calculation can be reliably carried out as we verify in our experimental section. The dataset and the project code are available here:https://github.com/juliadietlmeier/CF-OCT-segmentation

    VideoEase at VBS2025: An Interactive Video Retrieval System

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    We present the VideoEase interactive video retrieval system, which we used to participate in VBS2025. This is the first time that VideoEase has taken part in the VBS challenge. VideoEase is built on the Milvus vector database, which supports vector searches on massive datasets with high-dimensional vectors. The CLIP, BLIP2, and Open-CLIP models play a crucial role in encoding keyframe images and queries into embeddings. A new user interface with simple yet effective components is also introduced. We experiment with VBS24 queries to evaluate the performance of the VideoEase system. Our results show that answer rank is improved by merging outputs from several models with appropriate weights

    “I think we all just got a bit too proud of ourselves too soon”: heteronormativity, whiteness, and Far-Right extremism in Caroline O’Donoghue’s All Our Hidden Gifts trilogy

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    Caroline O’Donoghue’s All Our Hidden Gifts trilogy, comprising All Our Hidden Gifts (2021), The Gifts That Bind Us (2022), and Every Gift a Curse (2023), engages closely with the zeitgeist: it is markedly informed by the cultural, social, and political climate in Ireland during which it was written and published. The trilogy fictionalises a backlash in response to Ireland’s recent rapid cultural and societal change. It offers its readers the opportunity to consider anxieties that arose in Ireland during this time period and appraise Ireland’s status as a liberal society. In particular, the trilogy engages with concerns to do with Irish identity, heteronormativity, and whiteness, as well as anxieties about the threat that Far-Right extremism might pose to Ireland’s multiculturalism and adolescents. This article examines the trilogy’s intersectional approach to representing expressions of sexuality, gender, religion, race, and ethnicity in expansive ways. It questions whether the trilogy offers a complex investigation of discrimination and racism in Irish society or counterproductively reifies the hierarchical structures it seeks to critique

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