Surprised by Syntax: Reading the Latinity of Paradise Lost

Stanley Fish in his monumental study argued that the reader of Paradise Lost is “surprised by sin” as he or she in the course of engaging with the text falls, like Adam and Eve, into sin and error and is brought up short. Through a “programme of reader harassment” the experience of the fall is re-enacted in the process of reading, wherein lies the poem’s meaning. And reader response criticism was born. But if for Fish the twentieth-century reader is “surprised by sin,” might not the twenty-first century reader, an all too frequently Latinless reader, be surprised by syntax, a syntax which despite of (or maybe because of) its inherent Latinity and associated linguistic alterity functions as a seductively attractive other? The reader, like Eve, is indeed surprised: enchanted, bemused, seduced by the abundant classicism, by the formal Latinate rhetoric achieved by a Miltonic unison of “Voice and Verse” and also by the language of a Satanic tempter who is—in the pejorative sense of the Latin adjective bilinguis—“double-tongued, deceitful, treacherous.” It is hardly an accident that this adjective (with which Milton qualifies hellish betrayal in his Latin gunpowder epic) was typically applied to the forked tongue of a serpent. This study argues that key to the success of the double-tongued Miltonic serpens bilinguis, is his use and abuse of Latinate language and rhetoric. It posits the possible case that this is mirrored in the linguistic methodology of the poeta bilinguis, the geminus Miltonus? For if, like Eve, the twenty-first century reader of Paradise Lost is surprised by syntax, by the Miltonic use and the Satanic abuse of a Latinate voice, might not he or she also be surprised by the text’s bilingual speaking voice?

A Simultaneous Equation Approach to Estimating HIV Prevalence with Non-Ignorable Missing Responses

Estimates of HIV prevalence are important for policy in order to establish the health status of a country's population and to evaluate the effectiveness of population-based interventions and campaigns. However, participation rates in testing for surveillance conducted as part of household surveys, on which many of these estimates are based, can be low. HIV positive individuals may be less likely to participate because they fear disclosure, in which case estimates obtained using conventional approaches to deal with missing data, such as imputation-based methods, will be biased. We develop a Heckman-type simultaneous equation approach which accounts for non-ignorable selection, but unlike previous implementations, allows for spatial dependence and does not impose a homogeneous selection process on all respondents. In addition, our framework addresses the issue of separation, where for instance some factors are severely unbalanced and highly predictive of the response, which would ordinarily prevent model convergence. Estimation is carried out within a penalized likelihood framework where smoothing is achieved using a parametrization of the smoothing criterion which makes estimation more stable and efficient. We provide the software for straightforward implementation of the proposed approach, and apply our methodology to estimating national and sub-national HIV prevalence in Swaziland, Zimbabwe and Zambia.