Embracing Indeterminacy: On Being a Liminal Professional

The rise of the corporate profession has contributed to a more varied and ambiguous professional terrain that is increasingly seen to be indeterminate and fluid. This paper advances the current debate around the development of corporate professions, exploring how practitioners respond to this environment. Drawing on research with public relations practitioners, the paper shows how the idea of being a liminar facilitates the formation of a professional identity in conditions of high indeterminacy. In taking an individual level of analysis of professions, the paper suggests that indeterminacy is a more resonant feature for corporate professionals than previously suggested in the research, but that this indeterminacy is navigated in professional identity construction through ‘being a liminar’, and thus greater nuance may need to be recognized in the conceptualization of both corporate professions and corporate professionalization. It also demonstrates the use of liminality as a discursive resource in identity construction and with it, challenges the common association of liminality with self‐doubt and existential anxiety. In turn, the paper considers the implications of the liminal professional identity for the future of contemporary professions, and for understanding the liminal experience.     

Comprehensive neighbourhood mapping: developing a powerful tool for child protection

This paper proposes ‘comprehensive neighbourhood mapping’ as a schema for gathering and interpreting information within a given geographical area which is informed by imaginative thinking about the safety of children and young people from sexual crime. It would build upon current forms of profiling by local authorities, health authorities and central Government. CNM would actively involve local people, in partnership with agencies, in ‘mapping’ danger points and support points. Eight components are discussed, including environmental issues, locations of sex offenders, sites where teenagers meet and share information, supportive individuals and organizations. Some issues for pilot projects are discussed, including the need to set up planning and implementation groups and to integrate CNM into wider child protection and community safety strategies. CNM is grounded in an ecological perspective which sees partnership approaches as essential and believes an overarching view of neighbourhood needs, based on detailed local information and understanding of how different forms of harm interconnect, is crucial in developing child protection strategies. At times of acute official anxiety about community ‘lynch‐mob’ reactions to known paedophiles, CNM aims to build communities which instead are informed and thoughtful about child protection. Copyright © 2002 John Wiley & Sons, Ltd.     

From leisure and disability to disability leisure: developing data, definitions and discourses

Although both disability studies and leisure studies have grown to become influential subject fields in their own right, there has been little discursive exchange between the two fields. This article seeks to address these equally significant gaps in disability research within leisure studies and leisure research within disability studies. Empirical data examining the role of leisure in the lives of a group of young people with cerebral palsy are introduced to contextualise definitions and discourses of leisure and disability. The article demonstrates that, for many young disabled people, the role of leisure in tackling social exclusion remains within the realms of policy rhetoric, rather than everyday reality. The dissonance between these agendas and actualities is reviewed in relation to definitions and discourses of disability and leisure evident in wider social policies, and in relation to definitions, discourses and models of disability that remain dominant within leisure provision.     

Gambling and the Law®: Endless fields of dreams

This article examines the current trends of proliferation of commercial gaming, especially in the United States, in the context of the third wave of legalization of gambling that has been experienced since the founding of the nation. The author looks at the historic foundations of the spread of casino-style gambling, and notes the types of casino gaming that have led the way in the current expansion. He also points out why it is reasonable to expect that this wave too may come crashing down, as general acceptance of wide-spread casino gaming in America may indeed be short-lived.Gambling and the Law^® is a registered trademark of I. Nelson Rose.     

The Development of Object Construction From Infancy Through Toddlerhood

Early in development, children explore and combine objects in increasingly complex ways. One manual skill, object construction, represents a major shift in how objects are explored relative to other objects. Despite recent connections with cognitive functioning such as spatial skills, the development of object construction ability has rarely been studied and its trajectory has not been adequately described. The purpose of this study was to describe the development of three types of object construction (stacking, nesting, and affixing) across 5 monthly infant visits and 7 monthly toddler visits using a longitudinal design and a large sample size. Infants (10–14 months, n = 131) and toddlers drawn from the infant sample (18–24 months, n = 65) were given sets of age‐appropriate toys each of which elicited at least one type of constructive play. We described success at different construction tasks and identified trends for construction skill for infant and toddler development using multilevel modeling. We found that each of the three construction actions developed in unique ways across the 10‐ to 24‐month period. Infant construction skill predicted the development of toddler skill, but toddler construction skill diverged from infant trajectories. We discuss the role of combination strategies in the development of object construction skill and how object construction could be related to other domains of development.     

An omnibus lack of fit test in logistic regression with sparse data

The usefulness of logistic regression depends to a great extent on the correct specification of the relation between a binary response and characteristics of the unit on which the response is recoded. Currently used methods for testing for misspecification (lack of fit) of a proposed logistic regression model do not perform well when a data set contains almost as many distinct covariate vectors as experimental units, a condition referred to as sparsity. A new algorithm for grouping sparse data to create pseudo replicates and using them to test for lack of fit is developed. A simulation study illustrates settings in which the new test is superior to existing ones. Analysis of a dataset consisting of the ages of menarche of Warsaw girls is also used to compare the new and existing lack of fit tests.     

Maternal Conflict Behavior Profiles and Child Social Skills

The current study examined associations between mothers’ behavioral profiles during mother‐child conflict interactions and their children's social skills. This person‐centered approach classified 181 mothers according to their levels of emotional responsiveness, intrusiveness, negativity, and engagement facilitation behaviors during an eight‐minute conflict discussion task with their child. Three distinct classes of mothers were identified using latent profile analysis: sensitive/engaged, moderately sensitive/engaged, and insensitive/disengaged. An analysis of covariance indicated that children of mothers in the sensitive/engaged group had significantly higher social skills than children of mothers in the moderately sensitive/engaged and insensitive/disengaged groups. Results suggest that mother‐child conflict interactions may benefit children's social development when mothers facilitate their children's participation in a highly sensitive manner.     

Bayesian Classifiers Applied to the Tennessee Eastman Process

Fault diagnosis includes the main task of classification. Bayesian networks (BNs) present several advantages in the classification task, and previous works have suggested their use as classifiers. Because a classifier is often only one part of a larger decision process, this article proposes, for industrial process diagnosis, the use of a Bayesian method called dynamic Markov blanket classifier that has as its main goal the induction of accurate Bayesian classifiers having dependable probability estimates and revealing actual relationships among the most relevant variables. In addition, a new method, named variable ordering multiple offspring sampling capable of inducing a BN to be used as a classifier, is presented. The performance of these methods is assessed on the data of a benchmark problem known as the Tennessee Eastman process. The obtained results are compared with naive Bayes and tree augmented network classifiers, and confirm that both proposed algorithms can provide good classification accuracies as well as knowledge about relevant variables.     

"Little" and "Big" Pictures in Our Heads: Race, Local Context, and Innumeracy About Racial Groups in the United States

Americans do not know what percentage of the nation's residentsare whites, blacks, Hispanics, Asians, and American Indians.Using the 2000 General Social Survey, I find that respondentsof all races underestimate the percentages of whites and overestimatethe percentages of racial/ethnic minority groups and multiracialAmericans in the United States; however, they perceive theirlocal communities quite differently. As a first step towardunderstanding this discrepancy, I test whether individuals’local surroundings serve as a source of information for theirpictures of the United States. I examine the relationship between"objective" data and respondents’ subjective perceptionsof where they live, and compare their respective effects onAmericans’ perceptions of the nation. Multivariate multilevelanalyses show that respondents’ perceptions of differentracial group sizes in their communities are the strongest predictorsof innumeracy at the national level, while "objective" racialcontext measured at the local level has less of an effect. Thesefindings have important implications for research on racialcontext, which assumes that census numbers for respondents’locales are good proxies for their perceptions of the size ofracial/ethnic groups in their communities. Furthermore, thesefindings suggest that scholars need to start thinking aboutwhy whites and non-whites have similar "big pictures" of thenation, why their "little pictures" vary a great deal, and whythe motivations for over- and underestimation may differ byracial/ethnic group.