A category mistake: why contemporary Australian religious education in Catholic schools may be doomed to failure

Assuming religious education to be the same as other subject areas of a Catholic school’s curriculum by, for example, applying the outcomes based philosophy and language of other subject areas to religious education renders a category mistake. A prominent notion in the work of metaphysical philosopher Gilbert Ryle, a category mistake arises when facts of one kind are presented as if they belong to another. This is significant. When Australian Catholic diocesan syllabus documents treat and describe religious education as being like other subjects comprising the curriculum, a category mistake is made, the effects of which may be damaging for student learning. Following an examination of relevant Church documents to describe its purpose, a brief analysis of contemporary Australian Catholic diocesan religious education syllabi (cases in point) indicates that a series of category mistakes have been made. These findings have significance in informing the development and refinement of theory, policy and practice in religious education.     

Psychometric schizotypy and motor performance

Motor abnormalities have long been a focus in discussions of schizophrenia. The present study used a newly developed line drawing task to examine fine motor performance and psychometrically assessed schizotypy in a large, randomly ascertained sample of young adults (N = 120) with no history of psychosis. Poor motor performance on the line drawing task, indexed by root-mean-square error (RMS), was significantly related to 4 separate psychometric measures of schizotypy in the overall sample. The psychometric schizotypy-RMS association remained significant for 2 of the schizotypy measures even when the effects of intellectual functioning, mental state factors, and sustained attention were statistically controlled in a regression analysis. The status of the line drawing index as a schizophrenia liability measure is discussed.     

The Role of Negative Information in Distributional Semantic Learning

Distributional models of semantics learn word meanings from contextual co‐occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co‐occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co‐occurrences with vector accumulation. All of these models learned from positive information only: Words that occur together within a context become related to each other. A recent class of distributional models, referred to as neural embedding models, are based on a prediction process embedded in the functioning of a neural network: Such models predict words that should surround a target word in a given context (e.g., word2vec; Mikolov, Sutskever, Chen, Corrado, & Dean, 2013). An error signal derived from the prediction is used to update each word's representation via backpropagation. However, another key difference in predictive models is their use of negative information in addition to positive information to develop a semantic representation. The models use negative examples to predict words that should not surround a word in a given context. As before, an error signal derived from the prediction prompts an update of the word's representation, a procedure referred to as negative sampling. Standard uses of word2vec recommend a greater or equal ratio of negative to positive sampling. The use of negative information in developing a representation of semantic information is often thought to be intimately associated with word2vec's prediction process. We assess the role of negative information in developing a semantic representation and show that its power does not reflect the use of a prediction mechanism. Finally, we show how negative information can be efficiently integrated into classic count‐based semantic models using parameter‐free analytical transformations.     

Parent–Child Informant Discrepancy is Associated with Poorer Treatment Outcome

In child clinical psychology, parent and child reports are typically used to make treatment decisions and determine the effectiveness of treatment. However, there are often moderate to large discrepancies between parent and child reports, and these discrepancies may reflect meaningful information about the parent, the child, and the parent–child relationship. Additionally, parent–child discrepancy may predict treatment outcome. This study examined parent–child discrepancy in a sample of 62 children (10.15±1.26 years old) with prominent social competence deficits and mixed diagnoses who were treated with a resilience-based, cognitive–behavioral group therapy program (the Resilience Builder Program) in a private clinical setting. Further analyses were conducted to investigate whether parent–child discrepancy related to treatment outcome. Consistent with the literature, prominent parent–child discrepancy was found across domains, with parents generally reporting more severe symptomatology. Treatment with the Resilience Builder Program resulted in significant improvement in parent report of multiple domains of functioning, including resilience, social skills, and emotion and behavior regulation. Importantly, larger parent–child discrepancy at the start of therapy was predictive of poorer overall treatment response. Given its impact on therapeutic effectiveness, these results suggest that parent–child disagreement regarding the child’s impairment at the onset of therapy is worthy of assessment prior to treatment, and may itself be a topic worthy of targeting in treatment.     

Attention Problems and Restlessness as Transdiagnostic Markers of Severity and Treatment Response in Youth with Internalizing Problems

Research on Child and Adolescent Psychopathology - Transdiagnostic models of psychopathology suggest that disorders may share common features that could influence their severity. Attention problems...     

Identification of angry faces in the attentional blink

According to cognitive and neural theories of emotion, attentional processing of innate threat stimuli, such as angry facial expressions, is prioritised over neutral stimuli. To test this hypothesis, the present study used a modified version of the rapid serial visual presentation (RSVP) paradigm to investigate the effect of emotional face stimuli on the attentional blink (AB). The target stimuli were schematic faces which depicted threatening (angry), positive or neutral facial expressions. Results showed that performance accuracy was enhanced (i.e., the AB was reduced) on trials in which the second target was an angry face, rather than a neutral face. Results extend previous research by demonstrating that angry faces reduce the AB, and that this effect is found for schematic facial expressions. These findings further support the proposal that, when there is competition for attentional resources, threat stimuli are given higher priority in processing compared with non-threatening stimuli.