An Introduction to Ranking and Selection

This expository paper explains the philosophy of the indifference-zone approach and the subset-selection approach to ranking and selection procedures. It includes examples of operating characteristic curves and data applications for selection problems based on the binomial and normal distributions. A variety of different models and goals are provided with a list of references.     

A reciprocal global education? Working towards a more humanizing pedagogy through critical literacy

Dehumanizing tendencies within the present neo‐liberal era provide the backdrop against which the authors have developed an 11‐year partnership in the Global South. The economic context encourages competition over community and, while portending to bring people closer together through technological advances, it only facilitates the flow of commerce and capital while stemming the movement of consumers and workers. The authors provide a nuanced historical perspective leading up to the neo‐liberal moment, which notices the emergence of patriarchy, Christianity, racism, and capitalism as particular forms of social control, oppression and dehumanization. Recognizing the constructed nature of these forms, the authors propose community, consciousness, and courage as liberating ways forward towards the creation of an alternative form – a more reciprocal global education. While documenting some of their 11‐year partnership, the authors reveal the contribution of the following theorists who have impacted their praxis: Paul Kivel (social service vs social change), Paul Farmer (charity vs development vs social justice approaches to ‘service’ work), and Paul Gorski (decolonizing intercultural education). The authors conclude by (re)examining their desire to resist neo‐liberal globalizing tendencies towards a more reciprocal global education which expands upon relationships built and focuses on a critical literacy approach though the use of culture circles.     

A Review of: “An Insider's View of Sexual Science since Kinsey” edited by Ira L. Reiss

Masters, Johnson and Kolodny a volume which claims that risk understated by public This paper presents a brief analysis of the key data contained in MJK's book using simple mathematical models. The paper shows that the unconditional per partner risk of infection for the sexually active heterosexuals in the MJK study is exceeded by the similar risk for typical gay men in San Francisco by a factor of nearly fifty; that the conditional probability of infection given exposure via vaginal sex is about 2% for men and 3% for women per partner (both of these numbers are lower than the corresponding infec‐tivities for unprotected anal sex among gay men); and that an AIDS epidemic among the general heterosexual population would occur only if the average number of sexual partners per year exceeds about 5.3, an unlikely number given the data in MJK's study.     

Slave Crucibles: Interstate Migrants and Social Assimilation in the Antebellum South

Between 1800 and 1860 almost a million American slaves were forcibly removed from the Upper South and sent to the Lower South. An outpouring of historical research has greatly contributed to our understanding of the political, economic, demographic and business aspects of interregional slave migration in the antebellum period. As yet, however, relatively few studies have examined the assimilation process of interstate slave migrants. Cast into new slave communities, newcomers were often treated – and felt – like outsiders by their fellow bondspeople, and were forced to utilise various strategies to effect their integration. How did migrants experience the transition to new slave communities? How did they forge new relationships, and what were the bases of these relationships? What institutions and strategies aided in their integration process? And to what extent do their experiences reveal a broad ‘slave identity’ in the antebellum period? This study explores these questions for interstate newcomers in the antebellum South.     

Bad Probability,Good Statistics,and Group Testing for Binomial Estimation

This article examines some improperly stated but often used textbook probability problems. Moving from a probabilistic to a statistical setting provides insight into group testing (i.e., observing only whether one or more of a group responds and not the response of each individual). Exact methods are used to construct tables showing (i) that group testing n times to estimate p can be more efficient than n individual tests even for small n and large p, (ii) optimal grouping strategies for various (n, p) combinations, and (iii) the efficiencies and biases achieved.     

Introduction: What does the future promise for work,employment and society?

In introducing this double Special Issue, the authors draw on the articles contained therein to highlight the main areas for consideration in research on the future of work. They present the fast‐paced changes affecting the world of work as offering an opportunity to move towards equality‐inducing growth, while warning of the dangers posed by mismanaged technological change, inequalities (highlighting the persistent and intersectional nature of gender inequality), global supply chains and opportunities for social dialogue. In this light, they also propose policy recommendations focusing on strengthening worker protection and representative institutions, rethinking regulatory frameworks and taxation systems, and ensuring just transitions.     

Integrating Entropy‐Based Naïve Bayes and GIS for Spatial Evaluation of Flood Hazard

Regional flood risk caused by intensive rainfall under extreme climate conditions has increasingly attracted global attention. Mapping and evaluation of flood hazard are vital parts in flood risk assessment. This study develops an integrated framework for estimating spatial likelihood of flood hazard by coupling weighted naïve Bayes (WNB), geographic information system, and remote sensing. The north part of Fitzroy River Basin in Queensland, Australia, was selected as a case study site. The environmental indices, including extreme rainfall, evapotranspiration, net‐water index, soil water retention, elevation, slope, drainage proximity, and density, were generated from spatial data representing climate, soil, vegetation, hydrology, and topography. These indices were weighted using the statistics‐based entropy method. The weighted indices were input into the WNB‐based model to delineate a regional flood risk map that indicates the likelihood of flood occurrence. The resultant map was validated by the maximum inundation extent extracted from moderate resolution imaging spectroradiometer (MODIS) imagery. The evaluation results, including mapping and evaluation of the distribution of flood hazard, are helpful in guiding flood inundation disaster responses for the region. The novel approach presented consists of weighted grid data, image‐based sampling and validation, cell‐by‐cell probability inferring and spatial mapping. It is superior to an existing spatial naive Bayes (NB) method for regional flood hazard assessment. It can also be extended to other likelihood‐related environmental hazard studies.     

Redefining Critical Autism Studies: a more inclusive interpretation

This article explores the definition of Critical Autism Studies and its inclusion in autistic scholarship. There has been critique of recent non-autistic literature for lacking autistic authorship, leading to doubts about its epistemological integrity due to misrepresentations of autistic culture and the neurodiversity movement. This article utilises the work of Arnold, Milton and O’Dell et al. to introduce an emancipatory definition to ensure the discipline is autistic led. In the process, we discuss the nature of autism studies and what constitutes critical literature. We propose Waltz’s interpretation of Critical Autism Studies as a working definition.