The Duet between the Author and the Translator: An Analysis of Style through Shifts in Literary Translation

The study proposes a method for identifying the personal imprint of literary translators in translated works of fiction. The initial assumption was that the style of a target text is not determined solely by the literary style of the author but also by features of its translator s idiolect. A method was developed for identifying the idiolectal features of individual translators, which were then used to describe personal translation styles. The method is not restricted to a particular language pair. To test the method and to establish the nature of the proposed personal imprint empirically, extracts from four English-language literary source texts (two novels by James Joyce and two by Ernest Hemingway) were first compared with their translations into Finnish (by four different translators) in order to identify changes, or shifts, that had taken place at the formal linguistic level in the translation process. To allow individual propensities to manifest themselves, only optional shifts in which the translators had a range of choices available to them were included in the study. In the second phase, extracts by different authors rendered into Finnish by the same translator were compared in order to gauge the extent of the potential impact of the author's style on the translator's work. In-depth analysis of the types of shifts made most frequently by the individual translators revealed further intersubjective differences, and the shifts were used to construct translation profiles for each of the translators. In order to determine the potential effects of frequently occurring shifts on the target text, some central concepts of narratology were adapted and used to establish an intermediate link between microlevel choices and macrolevel effects. In this way the propensity of an individual translator to opt for certain types of shift could be linked with the overall artistic effect of the target text.

Spatial ecology of food webs : herbivore-parasitoid communities on the pedunculate oak

Herbivorous insects, their host plants and natural enemies form the largest and most species-rich communities on earth. But what forces structure such communities? Do they represent random collections of species, or are they assembled by given rules? To address these questions, food webs offer excellent tools. As a result of their versatile information content, such webs have become the focus of intensive research over the last few decades. In this thesis, I study herbivore-parasitoid food webs from a new perspective: I construct multiple, quantitative food webs in a spatially explicit setting, at two different scales. Focusing on food webs consisting of specialist herbivores and their natural enemies on the pedunculate oak, Quercus robur, I examine consistency in food web structure across space and time, and how landscape context affects this structure. As an important methodological development, I use DNA barcoding to resolve potential cryptic species in the food webs, and to examine their effect on food web structure. I find that DNA barcoding changes our perception of species identity for as many as a third of the individuals, by reducing misidentifications and by resolving several cryptic species. In terms of the variation detected in food web structure, I find surprising consistency in both space and time. From a spatial perspective, landscape context leaves no detectable imprint on food web structure, while species richness declines significantly with decreasing connectivity. From a temporal perspective, food web structure remains predictable from year to year, despite considerable species turnover in local communities. The rate of such turnover varies between guilds and species within guilds. The factors best explaining these observations are abundant and common species, which have a quantitatively dominant imprint on overall structure, and suffer the lowest turnover. By contrast, rare species with little impact on food web structure exhibit the highest turnover rates. These patterns reveal important limitations of modern metrics of quantitative food web structure. While they accurately describe the overall topology of the web and its most significant interactions, they are disproportionately affected by species with given traits, and insensitive to the specific identity of species. As rare species have been shown to be important for food web stability, metrics depicting quantitative food web structure should then not be used as the sole descriptors of communities in a changing world. To detect and resolve the versatile imprint of global environmental change, one should rather use these metrics as one tool among several.