"One country, two systems": Sociopolitical implications for female migrant sex workers in Hong Kong

Background. Under the "two countries, one system" policy implemented by China to manage the return of Hong Kong's sovereignty, Hong Kong has maintained a comparatively prosperous economy within the Asian region. This has resulted in an environment which fosters migration from the mainland to Hong Kong, due largely to proximity, higher earning potential, common language, and a relaxing of border control measures. However not all mainland China citizens are equally able to access these new migration schemes and indeed a number of women such as sex workers are either migrating and/or working illegally and without occupational, legal and health protection within Hong Kong. Discussion. Female migrant sex workers are exposed to a number of significant threats to their health, however their illegal status contributes to even greater vulnerability. The prevailing discourses which view these women as either "trafficked women" or as "illegal immigrants" do not adequately account for the complex situations which result in such women's employment in Hong Kong's sex industry. Rather, their position can best be understood within the broader frameworks provided by migration literature and the concept of "structural violence". This allows for a greater understanding of the socio-political issues which are systematically denying migrant sex workers adequate access to health care and other opportunities for social advancement. When these issues are taken into account, it becomes clear that the current relevant legislation regarding both immigration and sex work is perpetuating the marginalised and vulnerable status of migrant sex workers. Unless changes are made, structural barriers will remain in place which impede the ability of migrant sex workers to manage their own health needs and status. Conclusion. Female migrant sex workers in Hong Kong are extremely vulnerable to a number of occupational health and safety hazards which have significantly detrimental effects on their health. These risks can best be understood within a broad framework of socio-political factors contributing to their vulnerability. Ensuring that migrant sex workers have adequate support for their health and legal rights requires require structural interventions such as decriminalisation and providing open and inclusive access to health service to counteract such factors. © 2008 Wong et al; licensee BioMed Central Ltd.published_or_final_versio

Local text cohesion, reading ability and individual science aspirations: key factors influencing comprehension in science classes

In response to the concern of the need to improve the scientific skills of school children, this study investigated the influence of text design (in terms of text cohesion) and individual differences, with the aim of identifying pathways to improving science education in early secondary school (Key Stage 3). One hundred and four secondary school children (56 females, 48 males), aged 12–13 years took part in the study. To assess the influence of local cohesion (lexical and grammatical links between adjacent sentences) in science texts, we measured students’ comprehension (through multiple choice questions) of science text that was high and low in local cohesion. To explore the role of individual differences, students completed tests to measure general reading ability, general intelligence, facets of conscientiousness, science self-concept and individual, friends and family aspirations in science. Students were more accurate in answering comprehension questions after reading text that was high in cohesion than low in cohesion, suggesting that high local text cohesion improved students’ comprehension of science text. Reading ability predicted increased comprehension for both text designs. Individual aspirations in science accounted for unique variance for comprehension for high cohesion text. Implications for the teaching of secondary school science are discussed

Developing local oral reading fluency cut scores for predicting high-stakes test performance

This study evaluated the classification accuracy of a second grade oral reading fluency curriculum-based measure (R-CBM) in predicting third grade state test performance. It also compared the long-term classification accuracy of local and publisher-recommended R-CBM cut scores. Participants were 266 students who were divided into a calibration sample (n = 170) and two cross-validation samples (n = 46; n = 50), respectively. Using calibration sample data, local fall, winter, and spring R-CBM cut scores for predicting students’ state test performance were developed using three methods: discriminant analysis (DA), logistic regression (LR), and receiver operating characteristic curve analysis (ROC). The classification accuracy of local and publisher-recommended cut scores was evaluated across subsamples. Only DA and ROC produced cut scores that maintained adequate sensitivity (≥.70) across cohorts; however, LR and publisher-recommended scores had higher levels of specificity and overall correct classification. Implications for developing local cut scores are discussed