Copyright and research: an archivangelist's perspective

Conflation of academic copyright issues with respect to books (whether text books, research monographs or popularisations) and research articles, is rife in the academic publishing industry. A charitable interpretation is that this is because to publishers they are all effectively the same: a product produced for commercial benefit. An uncharitable interpretation is that this is a classic Fear Uncertainty and Doubt approach, in an attempt to delay the inevitable move to Open Access (OA) to research articles. To authors, however, research articles and books are generally very different things. Research articles are produced without the expectation of direct financial return, whereas books generally include some consideration of financial return. Taylor’s “Copyright and research: an academic publisher’s perspective” (SCRIPT-ed 4:2) falls wholesale into this mental trap and in particular his lauding of the position paper of the Association of American Professional and Scholarly Publishers, shows a lack of understanding of the continuing huge loss to scholarship of a lack of OA to research articles. It should be regarded as a categorical imperative for scholars to embrace OA to research articles.

Skilloscopy: Bayesian modeling of decision makers' skill

This paper proposes and demonstrates an approach, Skilloscopy, to the assessment of decision makers. In an increasingly sophisticated, connected and information-rich world, decision making is becoming both more important and more difficult. At the same time, modelling decision-making on computers is becoming more feasible and of interest, partly because the information-input to those decisions is increasingly on record. The aims of Skilloscopy are to rate and rank decision makers in a domain relative to each other: the aims do not include an analysis of why a decision is wrong or suboptimal, nor the modelling of the underlying cognitive process of making the decisions. In the proposed method a decision-maker is characterised by a probability distribution of their competence in choosing among quantifiable alternatives. This probability distribution is derived by classic Bayesian inference from a combination of prior belief and the evidence of the decisions. Thus, decision-makers’ skills may be better compared, rated and ranked. The proposed method is applied and evaluated in the gamedomain of Chess. A large set of games by players across a broad range of the World Chess Federation (FIDE) Elo ratings has been used to infer the distribution of players’ rating directly from the moves they play rather than from game outcomes. Demonstration applications address questions frequently asked by the Chess community regarding the stability of the Elo rating scale, the comparison of players of different eras and/or leagues, and controversial incidents possibly involving fraud. The method of Skilloscopy may be applied in any decision domain where the value of the decision-options can be quantified.

Beyond Belief: Harry Potter in text and film

Despite the fact that the Harry Potter books have won a place in the cultural consciousness and have had enjoyed immense commercial success, they were not accepted within many faith groups at the outset. Using the term ‘religion’ to refers to any system of belief that may be recognised by symbols , I look extracts from three of the novels, alongside their subsequent cinematic adaptations, in order to consider the construction of representations of religion in the films and the contribution made by the films to this debate.

Uptake pathways: the potential of Bayesian belief networks to assist the management, monitoring and evaluation of development-orientated research

The effectiveness of development assistance has come under renewed scrutiny in recent years. In an era of growing economic liberalisation, research organisations are increasingly being asked to account for the use of public funds by demonstrating achievements. However, in the natural resources (NR) research field, conventional economic assessment techniques have focused on quantifying the impact achieved rather understanding the process that delivered it. As a result, they provide limited guidance for planners and researchers charged with selecting and implementing future research. In response, “pathways” or logic models have attracted increased interest in recent years as a remedy to this shortcoming. However, as commonly applied these suffer from two key limitations in their ability to incorporate risk and assess variance from plan. The paper reports the results of a case study that used a Bayesian belief network approach to address these limitations and outlines its potential value as a tool to assist the planning, monitoring and evaluation of development-orientated research.

There must be more to development of mindreading and metacognition than passing false belief tasks

We argue that while it is a valuable contribution, Carruthers' Model may be too restrictive to elaborate our understanding of the development of mindreading and metacognition, or to enrich our knowledge of individual differences and psychopathology. To illustrate, we describe pertinent examples where there may be a critical interplay between primitive social-cognitive processes and emerging self-attributions.

Cross validation and segment support for stereo belief propagation

Typically, algorithms for generating stereo disparity maps have been developed to minimise the energy equation of a single image. This paper proposes a method for implementing cross validation in a belief propagation optimisation. When tested using the Middlebury online stereo evaluation, the cross validation improves upon the results of standard belief propagation. Furthermore, it has been shown that regions of homogeneous colour within the images can be used for enforcing the so-called "Segment Constraint". Developing from this, Segment Support is introduced to boost belief between pixels of the same image region and improve propagation into textureless regions.