'Translated Verse': Milton's Latin Poetry in the Long Eighteenth Century

This chapter assesses ways in which the emergence in the long eighteenth century of a cluster of verse translations of Milton’s Poemata engendered an intellectual discourse and debate on translation itself, not dissimilar to the magazine warfare of the day. It argues that poetical renderings of Milton’s Latin verse, and the biographical and literary contexts in which they appeared, facilitated the interrogation of key issues that are still being debated by modern translation theorists: the nature and function of translation; the viability of rendering a source text in a target language that is also in this instance a poetic language; the potential ‘fetters’ which, in Drydenesque terms, might constrain ‘the verbal copier’; or by contrast the quasi-liberating fluency, the ‘fluent strategy’, attendant upon recourse to verse as translational medium; canonicity, amplification and omission; the much-debated issue of authorial equivalence, evinced here, it is suggested, by the editorial showcasing of the translator; and not least, the perennial question of translation as reading and critical interpretation. In short, verse renderings of Milton’s Latin poetry and the debates that they engendered assume a not inconsequential place in the history of translation theory, which, as Venuti notes, is forever concerned with ‘the changing relationships between the relative autonomy of the translated text and two other categories: equivalence and function.’

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Marvell's Latin Poetry and the Art of Punning

This chapter analyses Marvell’s linguistic ingenuity as exemplified by his Latin poetic corpus. Here, it is argued, a pseudo Lucretian sensitivity to the parallelism between the structure of Latin words and the structure of the world co-exists with a linguistic methodology that is essentially Marinesque. Close examination of the Latin poems as a whole assesses the nature and significance of etymological play, paronomasia, puns on juxtaposed Latin words, on place names, and on personal names. It is suggested that such devices demonstrate ways in which the neo-Latin poetic text can serve both as a linguistic microcosm of the literary contexts in which they are employed, and as a re-invention of the artifice, extravagant conceits, and baroque wit of Marinism. The result is a neo-Latin ‘echoing song’ that is both intra- and intertextual. Through bilingual punning and phonological wit Marvell plays with a classical language only to demonstrate its transformative potential. The chapter concludes by offering a new reading of Hortus in relation to the garden sections of Marino’s L’Adone, in which an extravagantly luscious setting confounds the senses and is mirrored linguistically by word-clusters and labyrinthine punning.

The marginal willingness-to-pay for attributes of a hypothetical HIV vaccine

This paper estimates the marginal willingness-to-pay for attributes of a hypothetical HIV vaccine using discrete choice modeling. We use primary data from 326 respondents from Bangkok and Chiang Mai, Thailand, in 2008–2009, selected using purposive, venue-based sampling across two strata. Participants completed a structured questionnaire and full rank discrete choice modeling task administered using computer-assisted personal interviewing. The choice experiment was used to rank eight hypothetical HIV vaccine scenarios, with each scenario comprising seven attributes (including cost) each of which had two levels. The data were analyzed in two alternative specifications: (1) best-worst; and (2) full-rank, using logit likelihood functions estimated with custom routines in Gauss matrix programming language. In the full-rank specification, all vaccine attributes are significant predictors of probability of vaccine choice. The biomedical attributes of the hypothetical HIV vaccine (efficacy, absence of VISP, absence of side effects, and duration of effect) are the most important attributes for HIV vaccine choice. On average respondents are more than twice as likely to accept a vaccine with 99% efficacy, than a vaccine with 50% efficacy. This translates to a willingness to pay US$383 more for a high efficacy vaccine compared with the low efficacy vaccine. Knowledge of the relative importance of determinants of HIV vaccine acceptability is important to ensure the success of future vaccination programs. Future acceptability studies of hypothetical HIV vaccines should use more finely grained biomedical attributes, and could also improve the external validity of results by including more levels of the cost attribute.

The Potency of Pastoral in Hispanic Baroque poetry

This monograph demonstrates that aesthetic and ontological anxieties continue to find diverse expression within the contrived textual artifice of the bucolic space. Drawing upon expansive definitions of the Hispanic literary Baroque, (Beverley, 1980, 2008, Echevarría 1993, Ross 1993, Chemris 2008 , Egido 2009 ) the study analyses the pastoral verse of representative poets of the period to demonstrate that they re-enter an Arcadia that has been defamiliarized but is nonetheless inexorably connected to the classical origins of the mode. Pastoral, in common with other literary forms, is subject to a process of re-evaluation which was latent in its classical legacy. Within the intricacies of this literary construct, surface artistry sustains an effect of artless innocence that is vibrantly contested across the secular, sacred, parodic and colonial text.

mfx: Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs

Estimates probit, logit, Poisson, negative binomial, and beta regression models, returning their marginal effects, odds ratios, or incidence rate ratios as an output.

On Theft: Teaching Poetry Composition to Undergraduates

This chapter discusses the potential uses of both found poetry and imitiation poetry as teaching material for undergraduate creative poetry students.

Introducing Students to Pre-Nineteenth-Century Poetry in the Language Classroom

We as language instructors are tasked with preparing students to transition from language to literature courses. The shorter length of many poems makes them ideal for presentation in the language classroom, where the acquisition of communicative competence is the priority. Introductory and intermediate textbooks’ poetry offerings, however, are frequently drawn from a canon of poems by only a few nineteenth- and twentieth-century authors (Verlaine, Apollinaire, Prévert) and fail to expose students to broader aspects of French literature. This article offers strategies for presenting pre-nineteenth-century poetry to first- and second-year students of French using dizains from Scève’s Délie as examples.

Efficient Marginal Likelihood Computation for Gaussian Process Regression

In a Bayesian learning setting, the posterior distribution of a predictive model arises from a trade-off between its prior distribution and the conditional likelihood of observed data. Such distribution functions usually rely on additional hyperparameters which need to be tuned in order to achieve optimum predictive performance; this operation can be efficiently performed in an Empirical Bayes fashion by maximizing the posterior marginal likelihood of the observed data. Since the score function of this optimization problem is in general characterized by the presence of local optima, it is necessary to resort to global optimization strategies, which require a large number of function evaluations. Given that the evaluation is usually computationally intensive and badly scaled with respect to the dataset size, the maximum number of observations that can be treated simultaneously is quite limited. In this paper, we consider the case of hyperparameter tuning in Gaussian process regression. A straightforward implementation of the posterior log-likelihood for this model requires O(N^3) operations for every iteration of the optimization procedure, where N is the number of examples in the input dataset. We derive a novel set of identities that allow, after an initial overhead of O(N^3), the evaluation of the score function, as well as the Jacobian and Hessian matrices, in O(N) operations. We prove how the proposed identities, that follow from the eigendecomposition of the kernel matrix, yield a reduction of several orders of magnitude in the computation time for the hyperparameter optimization problem. Notably, the proposed solution provides computational advantages even with respect to state of the art approximations that rely on sparse kernel matrices.