Asymptotic Properties for a Class of Partially Identified Models

We propose inference procedures for partially identified population features for which the population identification region can be written as a transformation of the Aumann expectation of a properly defined set valued random variable (SVRV). An SVRV is a mapping that associates a set (rather than a real number) with each element of the sample space. Examples of population features in this class include interval‐identified scalar parameters, best linear predictors with interval outcome data, and parameters of semiparametric binary models with interval regressor data. We extend the analogy principle to SVRVs and show that the sample analog estimator of the population identification region is given by a transformation of a Minkowski average of SVRVs. Using the results of the mathematics literature on SVRVs, we show that this estimator converges in probability to the population identification region with respect to the Hausdorff distance. We then show that the Hausdorff distance and the directed Hausdorff distance between the population identification region and the estimator, when properly normalized by , converge in distribution to functions of a Gaussian process whose covariance kernel depends on parameters of the population identification region. We provide consistent bootstrap procedures to approximate these limiting distributions. Using similar arguments as those applied for vector valued random variables, we develop a methodology to test assumptions about the true identification region and its subsets. We show that these results can be used to construct a confidence collection and a directed confidence collection. Those are (respectively) collection of sets that, when specified as a null hypothesis for the true value (a subset of values) of the population identification region, cannot be rejected by our tests.     

Newborns' Perceptual Categorization for Closed and Open Geometric Forms

This study explored newborns' ability to perceive perceptual similarities between different exemplars of 2 broad classes of simple shapes: closed and open geometric forms. Three experiments were carried out using a visual paired‐comparison task. Evidence showed that, after familiarization either to closed‐shaped or to open‐shaped forms, newborns manifested a novelty preference for a novel‐category rather than for a familiar‐category exemplar (Experiment 1). This result could not be explained either as a consequence of the newborns' inability to discriminate between instances of the same category of simple geometric forms (Experiment 2), or as a consequence of a spontaneous preference for the novel‐category exemplars (Experiment 3). Overall, findings revealed that newborns are able to form broad categories of distinguishable geometric shapes by relying on the shapes' perceptual similarity.     

Parameter estimation in a verhulst stochastic model

Summary Maximum likelihood estimation is a well-known statistical tool. When applied to the study of dynamical continuous-time phenomena, it requires some specific assumptions. In this paper we discuss some properties of the maximum likelihood estimator for a stochastic Verhulst model and we show some simulation results on the behaviour of the corresponding discrete estimator.     

Depth Measures for Multivariate Functional Data

In this article, we address the problem of mining and analyzing multivariate functional data. That is, data where each observation is a set of possibly correlated functions. Complex data of this kind is more and more common in many research fields, particularly in the biomedical context. In this work, we propose and apply a new concept of depth measure for multivariate functional data. With this new depth measure it is possible to generalize robust statistics, such as the median, to the multivariate functional framework, which in turn allows the application of outlier detection, boxplots construction, and nonparametric tests also in this more general framework. We present an application to Electrocardiographic (ECG) signals.     

Digital learning across cultures: an account of activity theory

ABSTRACT

This paper explores a teaching and learning process as it unfolds in an online offshore classroom. The paper reports on teaching and learning narratives distilled from different cultures, namely the cultures of educators and students in the context of digital learning environments. Drawing on activity theory as a conceptual framework to analyse the narrative, we employ self-study as a methodological tool for capturing the dynamism and complexities that unravel in intercultural and technology-enabled teaching activities. The framework explores the relationships, tensions and opportunities of diverse activity elements that constitute the design and delivery of digital pedagogies. In the networked intercultural system, sustaining the position of activity elements and the specific relational circuit that they institutionalise is a key task for understanding digital technologies as an influential tool for effective learning and teaching practices. We argue that seeing the digital platform from the perspective of its role in creating dynamic interrelationships in a complex activity system is one way to move beyond the cultural confines of any particular element in the system.     

Autonomy,spontaneity and creativity in research with children. A study of experience and participation,in central Italy and North West England

ABSTRACT

Research involving children, deemed to have difficulties with conventional means of communication, can perpetuate reductive forms of representation of children’s knowledges and experiences. This article focuses on the possibilities and opportunities that visual and creative methods can offer to researching with children. Children advance their views in and through spontaneous and concrete forms of participation. Autonomy in aesthetic acts is central to this methodology; to explore practices that produce and reproduce presuppositions deriving from societal attitudes affecting research with children, their agency and self-presentation. This cross-cultural study was conducted in Central Italy and North West England: children contributed their perspectives and experiences through participation in a series of creative encounters resulting in aesthetic and embodied outcomes of sociological and educational significance. The study contributes to the debate on children’s autonomy and the value and quality of participation through artistic practice. Examples from the corpus of data, which includes a series of artefacts and over 900 photographs from each geo-cultural context, are presented. The study shows that it is possible to harmonise power imbalances in spaces of creative freedom, in research and education, where children’s choices and agency are respected.     

Putting women back in their place. Reflections on slut-shaming,the case Asia Argento and Twitter in Italy

ABSTRACT

Compared to racist and ethnicist discourses, literature on sexist discourses – both off and on-line – as hate speech is relatively underinvestigated. This is partly due to the tendency to minimise accusations of sexism and to reframe misogyny as ‘acceptable’ by constructing it as a form of humour. We decided to focus on slut-shaming, one of the most virulent forms of hate speech, which has always existed but was boosted by social media, becoming a stable low-cost ingredient of today’s rape culture. We propose to consider online slut-shaming as a form of ‘technology-facilitated sexual violence’, where digital technologies are used to facilitate both virtual and face-to-face sexually based harms. According to feminist analysis of sexual violence, this would be a matter of power rather than sex: sex would be the weapon, not the motive. We have tested this research hypothesis by focusing on the Italian reception of the MeToo campaign, triggered by Asia Argento’s denunciation. More specifically, two Different Twitter corpora produced within the same five months period were examined by means of a quantitative and a qualitative methodology.     

Changes in Employment Uncertainty and the Fertility Intention–Realization Link: An Analysis Based on the Swiss Household Panel

How do changes in employment uncertainty matter for fertility? Empirical studies on the impact of employment uncertainty on reproductive decision-making offer a variety of conclusions, ranging from gender and socio-economic differences in the effect of employment uncertainty on fertility intentions and behaviour, to the effect of employment on changes in fertility intentions. This article analyses the association between a change in subjective employment uncertainty and fertility intentions and behaviour by distinguishing male and female partners’ employment uncertainty, and examines the variation in these associations by education. Using a sample of men and women living in a couple from the Swiss Household Panel (SHP 2002–2011), we examine through multinomial analysis how changes in employment uncertainty and selected socio-demographic factors are related to individual childbearing decisions. Our results show strong gendered effects of changes in employment uncertainty on the revision of reproductive decisions among the highly educated population.