Costs and benefits of orthographic inconsistency in reading:evidence from a cross-linguistic comparison

We compared reading acquisition in English and Italian children up to late primary school analyzing RTs and errors as a function of various psycholinguistic variables and changes due to experience. Our results show that reading becomes progressively more reliant on larger processing units with age, but that this is modulated by consistency of the language. In English, an inconsistent orthography, reliance on larger units occurs earlier on and it is demonstrated by faster RTs, a stronger effect of lexical variables and lack of length effect (by fifth grade). However, not all English children are able to master this mode of processing yielding larger inter-individual variability. In Italian, a consistent orthography, reliance on larger units occurs later and it is less pronounced. This is demonstrated by larger length effects which remain significant even in older children and by larger effects of a global factor (related to speed of orthographic decoding) explaining changes of performance across ages. Our results show the importance of considering not only overall performance, but inter-individual variability and variability between conditions when interpreting cross-linguistic differences.

Learning user and product distributed representations using a sequence model for sentiment analysis

In product reviews, it is observed that the distribution of polarity ratings over reviews written by different users or evaluated based on different products are often skewed in the real world. As such, incorporating user and product information would be helpful for the task of sentiment classification of reviews. However, existing approaches ignored the temporal nature of reviews posted by the same user or evaluated on the same product. We argue that the temporal relations of reviews might be potentially useful for learning user and product embedding and thus propose employing a sequence model to embed these temporal relations into user and product representations so as to improve the performance of document-level sentiment analysis. Specifically, we first learn a distributed representation of each review by a one-dimensional convolutional neural network. Then, taking these representations as pretrained vectors, we use a recurrent neural network with gated recurrent units to learn distributed representations of users and products. Finally, we feed the user, product and review representations into a machine learning classifier for sentiment classification. Our approach has been evaluated on three large-scale review datasets from the IMDB and Yelp. Experimental results show that: (1) sequence modeling for the purposes of distributed user and product representation learning can improve the performance of document-level sentiment classification; (2) the proposed approach achieves state-of-The-Art results on these benchmark datasets.

Representations of Violence in the Theater

Center for Humanities in an Urban Environment presents a forum featuring several individuals from the areas of Academics, journalism and theater, on the subject of violence in the Theater. Event held at GableStage, Coral Gables on September 12, 2012.

On a Question of Kulshammer for Representations of Finite Groups in Reductive Groups

Peer reviewed

On a Question of Kulshammer for Representations of Finite Groups in Reductive Groups

Peer reviewed

"On our way": identities and representations of African women seeking asylum in Ireland

This thesis provides the first explicit Postcolonial study of asylum in the Irish context that integrates Black Feminist analyses of intersectional identity with Postcolonial Feminist theories of representation. African women seeking asylum in the Republic of Ireland were key political instruments used by the state to re-draw racial lines. The study examines how, for a group of African women “On their Way” through asylum, identity and representation work hand in hand to force identities, subaltern spaces and bodies to occupy them. Rich biographical data is gathered through mixed art and drama methods over two intensive participatory research projects conducted in a small Irish city. Data analysis critically examines the poetics (practices that signify) and politics (the powers that govern these practices) and affective economies of global and local NGO visual representations, exposing how they consume, fragment, and appropriate African women’s identities and bodies. Though hypervisible, the women themselves “cannot speak”. The women in the study reported feeling “tired” and “used”. Asking “What work are they doing as they do asylum?” the study finds that black female identities and bodies are forced to perform political, cultural, emotional and material labour on their way through this context of Irish asylum. The author argues that Postcolonial Asylum is a performative encounter that re-scripts colonial race/class/gender discourse through a humanitarian alibi to naturalize European/white supremacy, reinscribe patriarchal power and justify racialised incarceration of bodies seeking asylum in the North. This study takes an interdisciplinary approach that centralizes Black and Postcolonial Feminist theory and innovates Participatory Art-Based Action methodology. Black and Postcolonial feminisms can recognize, theorize and replenish black female political and intellectual agency. Participatory Action research, if grounded in Black feminist epistemology and ethics, can allow participants to “speak back” to what is already said about them in spaces of convivial self-representation.

Magners Man: Irish Cider, Representations of Masculinity and the "Burning Celtic Soul"

In this paper we go in search of the Celtic Soul, tracking its historical intertwining with, and relation to, Irish masculinity, from Ireland's pre-colonial past to its colonial days and finally to its postcolonial present. We argue that the Celtic soul manifests itself, with great success, in the Magners Irish Cider advertising campaign. As a key part of our analysis we also illustrate how representations of the Irish Celt serve as a means of enabling young male consumers to reconcile the many tensions and contradictions they are experiencing over what it means to perform ideals of masculinity in contemporary western culture.

Gender, Nationality and Cultural Representations of Ireland: An Irish Woman's Place?

Ireland has struggled with its ‘feminine’ identity throughout its history. The so-called ‘chasmic dichotomy of male and female' is embedded in colonial and postcolonial constructions of Irishness and it continues to manifest itself in contemporary cultural representations of Ireland and Irishness. This study explores issues of gender and nationality via a reading of a 70-second television advertisement for Caffrey's Irish Ale, titled ‘New York’. The article suggests that, although colonial and postcolonial discourse on Ireland continues to perceive the ‘feminine’ in problematic terms, this is gradually changing as Irish women increasingly, in poet Eavan Boland's words, ‘open a window on those silences, those false pastorals, those ornamental reductions’ that have confined us.

Créolization in a Caribbean Landscape: : Representations of Deteriorating Landscapes and Internal Exile in Edwidge Danticat's Claire of the Sea Light

engelska

Exploring social representations of adapting to climate change using topic modeling and Bayesian networks

When something unfamiliar emerges or when something familiar does something unexpected people need to make sense of what is emerging or going on in order to act. Social representations theory suggests how individuals and society make sense of the unfamiliar and hence how the resultant social representations (SRs) cognitively, emotionally, and actively orient people and enable communication. SRs are social constructions that emerge through individual and collective engagement with media and with everyday conversations among people. Recent developments in text analysis techniques, and in particular topic modeling, provide a potentially powerful analytical method to examine the structure and content of SRs using large samples of narrative or text. In this paper I describe the methods and results of applying topic modeling to 660 micronarratives collected from Australian academics / researchers, government employees, and members of the public in 2010-2011. The narrative fragments focused on adaptation to climate change (CC) and hence provide an example of Australian society making sense of an emerging and conflict ridden phenomena. The results of the topic modeling reflect elements of SRs of adaptation to CC that are consistent with findings in the literature as well as being reasonably robust predictors of classes of action in response to CC. Bayesian Network (BN) modeling was used to identify relationships among the topics (SR elements) and in particular to identify relationships among topics, sentiment, and action. Finally the resulting model and topic modeling results are used to highlight differences in the salience of SR elements among social groups. The approach of linking topic modeling and BN modeling offers a new and encouraging approach to analysis for ongoing research on SRs.