The Caliban Codex: mud,blood and spurious issues

The internationally known and respected Cherokee Indian artist Jimmie Durham created the conceptual mixed-media installation The Caliban Codex in anticipation of the 1992 quincentennial Columbian celebrations that were held throughout the Americas. He used Shakespeare's The Tempest as a vehicle by which to critique colonialism's appropriation of language and its power to assert colonial authority. He also addressed physiognomy as it was employed during the nineteenth century in a pseudo-scientific endeavour to ‘prove’ the biological legitimacy of racism. In each case Durham employed the methods of mimicry and mockery to address the ambivalent relationship between the coloniser and the colonised as it continues to be experienced.     

DESENSITIZING HERBERT BLUMER'S WORK ON RACE RELATIONS

Recent applications of Herbert Blumer's group position model to the study of contemporary race prejudice have misrepresented the ongoing process of definition and accommodation that, according to Blumer, mediates race relations. By conforming to the canons of research design and using standard sample surveys, public opinion polls, variables analysis, and statistical techniques to study perceptions of group threat, group hostility, and prejudicial attitudes, Blumer's dynamic social imagery, as well as the socially grounded methodology he sought to promote, are undermined. The result is a static depiction of race relations that has nothing to do with the variegated experiential complexities that Blumer claimed underlie all human group life.     

Charting the Emergence of National Identity in Children in Wales

This multimodal study, set in Wales, demonstrates that children aged nine and ten can clearly define and rationalise their own national identity. It contributes to age related discussions on how children categorise themselves in terms of national identity and the rationale for their choices. The children in the study used single and multiple definitions of national identity and illustrate the increasing plural nature of 21st century Wales. Family, birthplace and residency were identified as factors in shaping their national identity, more so than language, despite the current bilingual policy drive in Wales.     

The 2020 US Census Differential Privacy Method Introduces Disproportionate Discrepancies for Rural and Non-White Populations

Population Research and Policy Review - The recently finalized changes to the disclosure avoidance policies of the US Census Bureau for the 2020 census, grounded in differential privacy, have faced...     

Developmental Career Counseling with Teenage Parents

Although teenage parenthood is recognized by many counselors as a developmental identity crisis, it rarely has been viewed as a developmental career crisis. This article suggests developmental career assessment and counseling procedures for use with teenage parents.     

Using unlabelled data to update classification rules with applications in food authenticity studies

Summary.  An authentic food is one that is what it purports to be. Food processors and consumers need to be assured that, when they pay for a specific product or ingredient, they are receiving exactly what they pay for. Classification methods are an important tool in food authenticity studies where they are used to assign food samples of unknown type to known types. A classification method is developed where the classification rule is estimated by using both the labelled and the unlabelled data, in contrast with many classical methods which use only the labelled data for estimation. This methodology models the data as arising from a Gaussian mixture model with parsimonious covariance structure, as is done in model-based clustering. A missing data formulation of the mixture model is used and the models are fitted by using the EM and classification EM algorithms. The methods are applied to the analysis of spectra of food-stuffs recorded over the visible and near infra-red wavelength range in food authenticity studies. A comparison of the performance of model-based discriminant analysis and the method of classification proposed is given. The classification method proposed is shown to yield very good misclassification rates. The correct classification rate was observed to be as much as 15% higher than the correct classification rate for model-based discriminant analysis.