Ontario to develop a viatical industry

On 4 October 2000, Bill 119 (or the Red Tape Reduction Act, 2000) was introduced and received first reading in Ontario's provincial legislature. Like many of the other similarly titled bills the Harris government has introduced, Bill 119 proposes to change a long list of existing statutes in an effort to make Ontario more business friendly. Schedule G of Bill 119 sets out a mechanism whereby a viatical industry in Ontario would be made legal if a licensing scheme is first put in place by the Ministry of Finance.     

Preventing Prevention

Preventing climate change and damage from natural disasters typically requires policies with up‐front costs that promise a flow of benefits over time. Why has obtaining such policies in a competitive electoral democracy proved so intractable? We develop a formal model of electoral accountability in this context, in which politicians have private information about their motivations. The model shows why fully rational voters, though certain that incumbents spend less on disaster prevention than is good for them, reelect incumbents at very high rates. In addition, in such equilibria, voters would punish incumbents who spent more on disaster prevention. This equilibrium is consistent with (and implies) some of the major empirical regularities observed in the literature on voting and disaster prevention. We discuss some implications of our analysis for advancing public debates about disaster and climate change mitigation.     

Do multilingual androids dream of a better life in Australia? Effectiveness of information technology for government translation to support refugees and migrants in Australia

Without high‐quality translation of online information about government support and services, refugees and migrants from culturally and linguistically diverse backgrounds in Australia experience a major barrier to improved health, employment, education and social outcomes. Recent advances in the ability of Google Translate, Skype Translator and other forms of machine translation that use artificial intelligence can help translate government information to better support refugees and migrants but they bring the risk of ineffective communication, and exclusion from services that could positively impact on settlement experiences and daily life. Evidence suggests that government agencies are likely to be using human translators for most translation work, but the degree to which any form of information technology is used, how it may be best applied and the associated effects are not known. This study systematically reviewed the peer‐reviewed and grey literature to determine effective ways of using information technology for translating government information to refugees and migrants from culturally and linguistically diverse backgrounds in Australia. Included studies were analysed to identify techniques and other characteristics of translation, information technology and language support more broadly, and outcomes on education, health, social and other refugee and migrant experiences relating to translated information. Our review found a small evidence base featuring studies with strong evaluation demonstrating effective forms of ‘language support’ for refugees and migrants from culturally and linguistically diverse backgrounds in Australia in a broad sense. However, there is a major gap in knowledge that is contributing to barriers in the use of online government information in Australia. In particular, there is an absence of evidence demonstrating what is effective in the use of machine translation with artificial intelligence, websites and other kinds of information technology for translating government information with refugees and migrants from culturally and linguistically diverse backgrounds. The oversight risks further excluding already marginalised groups from services and support. This paper makes a number of suggestions practitioners can take to address the issue and guidelines for future research.