Ignorance not racism : the ethical implications of cultural schema theory within policing

Communication between cultures that do not share similar norms, values, beliefs, experiences, attitudes and practices has long proven to be a difficult exercise (Balsmeier & Heck, 1994). These difficulties can have serious consequences when the miscommunication happens in the justice system; the innocent can be convicted and witnesses undermined. Much work has been carried out on the need for better communication in the courtroom (Eades, 1993; Lauchs, 2010; Supreme Court of Queensland, 2010; Supreme Court of Western Australia, 2008) but far less on language and interactions between police and indigenous Australians (Powell, 2000). It is ethically necessary that officers of the law be made aware of linguistic issues to ensure they conduct their investigations in a fair and effective manner. Despite years of awareness raising issues still arise. Issues of clashes between police and indigenous peoples are still prevalent (Heath, 2012; Remeikis, 2012). This paper will attempt to explain the reason for this discrepancy and, in doing so, suggest some solutions to the problem. This paper draws on cultural schema theory in an attempt to determine if cultural difference in language could be negatively affecting communication between Aboriginal people and the police of South East Queensland. Findings from this research are significant in determining if miscommunication is adding to the already unequal standing of Aboriginal people within the Criminal Justice system, and encouraging the already volatile relationship between Aboriginal people and police.

e-Extinction: an illusion of knowledge, the presence of ignorance, or evolutionary fate?

At present, the rate of small firm adoption of the Internet's ubiquitous World Wide Web (the web) far exceeds the actual exploitation its commercial potential. An inability to strategically acquire, comprehend and use external knowledge is proposed as a major barrier to optimal exploitation of the Internet. This paper discusses the limitations of applying market orientation theory to explain and guide small firm exploitation of the web. Absorptive capacity is introduced as an alternative theory that when viewed from an evolutionary perspective provides potentially more insightful discussion. An inability to detect emerging business model dominant designs is suggested to be a mixture of the nature of the technology that supports the Internet and underdeveloped small firm knowledge processing capabilities. We conclude with consideration of the practical and theoretical implications that arise from the paper.

Ignorance is no Defence but is Inaccessibility? On the Accessibility of National Laws to Foreign Online Publishers

Kohl, U. (2005). Ignorance is no Defence but is Inaccessibility? On the Accessibility of National Laws to Foreign Online Publishers. Information & Communities Technology Law, 14 (1), 25-41. RAE2008 Information & Communications Technology Law Volume 14, Issue 1, 2005 Special Issue: GATED COMMUNITIES

Imprecise probabilistic query answering using measures of ignorance and degree of satisfaction

In conditional probabilistic logic programming, given a query, the two most common forms for answering the query are either a probability interval or a precise probability obtained by using the maximum entropy principle. The former can be noninformative (e.g.,interval [0; 1]) and the reliability of the latter is questionable when the priori knowledge isimprecise. To address this problem, in this paper, we propose some methods to quantitativelymeasure if a probability interval or a single probability is sufficient for answering a query. We first propose an approach to measuring the ignorance of a probabilistic logic program with respect to a query. The measure of ignorance (w.r.t. a query) reflects howreliable a precise probability for the query can be and a high value of ignorance suggests that a single probability is not suitable for the query. We then propose a method to measure the probability that the exact probability of a query falls in a given interval, e.g., a second order probability. We call it the degree of satisfaction. If the degree of satisfaction is highenough w.r.t. the query, then the given interval can be accepted as the answer to the query. We also prove our measures satisfy many properties and we use a case study to demonstrate the significance of the measures. © Springer Science+Business Media B.V. 2012

Interpersonal comparison of welfare in Harsanyi’s veil-of-ignorance model

Selon le voile d’ignorance proposé par John Harsanyi (1953, 1955), l’observateur rationnel derrière le voile d’ignorance cherche à maximiser la somme des utilités individuelles. Cependant, le modèle d’Harsanyi est fondé sur une hypothèse erronée que la fonction d’utilité à la von Neumann-Morgenstern de l’observateur permet la comparaison interpersonnelle de bien-être. Ce papier suggère une modification du modèle d’Harsanyi qui permet la comparaison interpersonnelle de bien-être, en utilisant les années de vie en parfaite utilité ou les années de vie heureuse comme mesure du bien-être.

A little learning is a dangerous thing: an experimental demonstration of ignorance-driven inference

Studies of ignorance-driven decision making have been employed to analyse when ignorance should prove advantageous on theoretical grounds or else they have been employed to examine whether human behaviour is consistent with an ignorance-driven inference strategy (e. g., the recognition heuristic). In the current study we examine whether-under conditions where such inferences might be expected-the advantages that theoretical analyses predict are evident in human performance data. A single experiment shows that, when asked to make relative wealth judgements, participants reliably use recognition as a basis for their judgements. Their wealth judgements under these conditions are reliably more accurate when some of the target names are unknown than when participants recognize all of the names (a "less-is-more effect"). These results are consistent across a number of variations: the number of options given to participants and the nature of the wealth judgement. A basic model of recognition-based inference predicts these effects.

When does ignorance make us smart? Additional factors guiding heuristic inference

“Fast & frugal” heuristics represent an appealing way of implementing bounded rationality and decision-making under pressure. The recognition heuristic is the simplest and most fundamental of these heuristics. Simulation and experimental studies have shown that this ignorance-driven heuristic inference can prove superior to knowledge based inference (Borges, Goldstein, Ortman & Gigerenzer, 1999; Goldstein & Gigerenzer, 2002) and have shown how the heuristic could develop from ACT-R’s forgetting function (Schooler & Hertwig, 2005). Mathematical analyses also demonstrate that, under certain conditions, a “less-is-more effect” will always occur (Goldstein & Gigerenzer, 2002). The further analyses presented in this paper show, however, that these conditions may constitute a special case and that the less-is-more effect in decision-making is subject to the moderating influence of the number of options to be considered and the framing of the question.

Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface

There is a strong drive towards hyperresolution earth system models in order to resolve finer scales of motion in the atmosphere. The problem of obtaining more realistic representation of terrestrial fluxes of heat and water, however, is not just a problem of moving to hyperresolution grid scales. It is much more a question of a lack of knowledge about the parameterisation of processes at whatever grid scale is being used for a wider modelling problem. Hyperresolution grid scales cannot alone solve the problem of this hyperresolution ignorance. This paper discusses these issues in more detail with specific reference to land surface parameterisations and flood inundation models. The importance of making local hyperresolution model predictions available for evaluation by local stakeholders is stressed. It is expected that this will be a major driving force for improving model performance in the future. Keith BEVEN, Hannah CLOKE, Florian PAPPENBERGER, Rob LAMB, Neil HUNTER