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The nineteenth century in Britain saw tumultuous changes that reshaped the fabric of society and altered the course of modernization. It also saw the rise of the novel to the height of its cultural power as the most important literary form of the period. This paper reports on a long-term experiment in tracing such macroscopic changes in the novel during this crucial period. Specifically, we present findings on two interrelated transformations in novelistic language that reveal a systemic concretization in language and fundamental change in the social spaces of the novel. We show how these shifts have consequences for setting, characterization, and narration as well as implications for the responsiveness of the novel to the dramatic changes in British society.
This paper has a second strand as well. This project was simultaneously an experiment in developing quantitative and computational methods for tracing changes in literary language. We wanted to see how far quantifiable features such as word usage could be pushed toward the investigation of literary history. Could we leverage quantitative methods in ways that respect the nuance and complexity we value in the humanities? To this end, we present a second set of results, the techniques and methodological lessons gained in the course of designing and running this project.
Im Mai 2008 verwüstete der Sturm Nargis über Myanmar/Burma hinweg, 140.000 Menschen wurden getötet. Das autokratisch regierte Land wies jedoch Katastrophenhilfe als innere Einmischung zurück und verweigerte die Einfuhr von Medikamenten und Lebensmitteln. Der französische Außenminister Kouschner drängte angesichts dieser Situation die UN zum Handeln, auf Grundlage der Responsibility to Protect (kurz R2P).
Dieser Akt der Versicherheitlichung steht allerdings im Kontrast zur Medienberichterstattung, wie Gabi Schlag in diesem Papier untersucht. Besonders das Bildmaterial aus dem Katastrophengebiet erzählt eine andere Geschichte. Die Photos der Berichterstattung von BBC.com zum Thema bilden ein visuelles Narrativ, welches keine Hilfsbedürftigkeit suggeriert, sondern kontrolliertes, besonnenes Vorgehen der lokalen Kräfte. Dieser Kontrast verweist auf die sprichwörtliche Macht der Bilder, welche die jeweiligen Bedingungen von Handlungsmöglichkeiten vorstrukturieren.
The Multilingual Assessment Instrument for Narratives (MAIN) was designed in order to assess narrative skills in children who acquire one or more languages from birth or from early age. MAIN is suitable for children from 3 to 10 years and evaluates both comprehension and production of narratives. Its design allows for the assessment of several languages in the same child, as well as for different elicitation modes: Model Story, Retelling, and Telling.
MAIN contains four parallel stories, each with a carefully designed six-picture sequence. The stories are controlled for cognitive and linguistic complexity, parallelism in macrostructure and microstructure, as well as for cultural appropriateness and robustness.
The instrument has been developed on the basis of extensive piloting with more than 550 monolingual and bilingual children aged 3 to 10, for 15 different languages and language combinations.
Even though MAIN has not been norm-referenced yet, its standardized procedures can be used for evaluation, intervention and research purposes. MAIN is currently available in the following languages: English, Afrikaans, Albanian, Basque, Bulgarian, Croatian, Cypriot Greek, Danish, Dutch, Estonian, Finnish, French, German, Greek, Hebrew, Icelandic, Italian, Lithuanian, Norwegian, Polish, Russian, Spanish, Standard Arabic, Swedish, Turkish, Vietnamese, and Welsh.
This paper investigates the accuracy of forecasts from four DSGE models for inflation, output growth and the federal funds rate using a real-time dataset synchronized with the Fed’s Greenbook projections. Conditioning the model forecasts on the Greenbook nowcasts leads to forecasts that are as accurate as the Greenbook projections for output growth and the federal funds rate. Only for inflation the model forecasts are dominated by the Greenbook projections. A comparison with forecasts from Bayesian VARs shows that the economic structure of the DSGE models which is useful for the interpretation of forecasts does not lower the accuracy of forecasts. Combining forecasts of several DSGE models increases precision in comparison to individual model forecasts. Comparing density forecasts with the actual distribution of observations shows that DSGE models overestimate uncertainty around point forecasts.
The calculus CHF models Concurrent Haskell extended by concurrent, implicit futures. It is a process calculus with concurrent threads, monadic concurrent evaluation, and includes a pure functional lambda-calculus which comprises data constructors, case-expressions, letrec-expressions, and Haskell’s seq. Futures can be implemented in Concurrent Haskell using the primitive unsafeInterleaveIO, which is available in most implementations of Haskell. Our main result is conservativity of CHF, that is, all equivalences of pure functional expressions are also valid in CHF. This implies that compiler optimizations and transformations from pure Haskell remain valid in Concurrent Haskell even if it is extended by futures. We also show that this is no longer valid if Concurrent Haskell is extended by the arbitrary use of unsafeInterleaveIO.
The comprehension and production of single words involve a variety of processing stages. Which stages need to be accessed differs depending on whether objects (pictures in an experimental environment) or words are supposed to be named. Naming tasks are often employed in psycholinguistic studies in order to provide an insight into the function of mental processes during word production. Differences in naming latencies and naming accuracy between words suggest that the retrieval of some lexical items is easier or more difficult in contrast to others. The relative ease of word retrieval has been found to be strongly influenced by properties of these words, such as familiarity and written or spoken frequency.
Exploring which variables affect naming speed and accuracy will allow gaining more information about the storage and processing of words in general. If a variable has a discernable effect on a specific experimental task, the localization of this effect is of interest for psycholinguistic research. This is because finding the locus of the effect can help specify models of speech production with respect to what processes occur at which stage of lexical retrieval. Additionally, identifying which variables influence language processing is inevitable in order to control for these variables when necessary. Otherwise variance in naming latencies could not be explained by the variable that was to be tested because other, uncontrolled variables could have altered the results.
In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). Within a system of quantile regressions for four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies) we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions. Using daily data, we can trace out the spillover effects over time in a set of impulse response functions and find that they reach their peak after 10 to 15 days.
In Germany, as in almost all industrial countries, active pharmaceutical substances can now be found in virtually all water bodies and occasionally also in drinking water. Even though the concentrations in question tend to be very low, there are initial signs of their impact on aquatic life. There is no evidence as yet of any acute consequences for human health. It is, however, impossible to rule out long-term consequences from these minimal concentrations or unexpected effects from the interaction between various active ingredients (cocktail effect). At special risk here are sensitive segments of the population such as children and the chronically ill. There is thus a need for action on precautionary grounds.
The main actors in the health system are largely unaware of the problem posed by drug residues in water. Although knowledge cannot be equated with awareness – given the existence of the ‘not wanting to know' phenomenon – the first step is to generate a consolidated knowledge base. Only by creating awareness of the problem can further strategies be implemented to ultimately enlighten and bring about behavioural change. At stake here is the overall everyday handling of medications, including prescription, compliance, and drug-free disease prevention down to the doctor-patient relationship. The latter, namely, is often characterised by misunderstandings and a lack of communication about the – supposed – need to prescribe drugs.
The first part of the strategy for the general public involves using various channels and media to address three different target groups. These were identified by ISOE in an empirical survey as reacting differently to the problem under review:
· ‘The Deniers/Relativists'
· ‘The Truth-Seekers'
· ‘The Hypersensitives'
The intention is to address each target group in the right tone and using the most suitable line of reasoning via specific media and with the proper degree of differentiation. The ‘Truth-Seekers' play an opinion-leading role here. They can be provided with highly differentiated information through sophisticated media which they then pass on to their dialogue partners in an appropriate form.
The second part of the strategy for the general public relates to the communication of proper disposal routes for expired drugs. The goal is to confine disposal to pharmacies so that on no account are they flushed down the sink or toilet. Based on an analysis of typical errors in existing communications media on this topic, ISOE prepared recommendations for drafting proper information materials.
In addressing pharmacists, the first priority is to convey hard facts: to this end we propose a PR campaign to place articles in the main specialist media. At the same time, the subject should feature in training and continuing education programmes. Another aim is to strengthen the advisory function of the pharmacies. The environmentally sensitive target group would indeed react positively to having their attention drawn to the issue of drug residues in water. For all other customers, the pharmacists can and should act as consultants: they emphasise how important it is to take medication as instructed (compliance) and use suitable pack sizes, and warn older customers in particular about the potential hazards of improper drug intake.
The first stage of the communications strategy for doctors likewise revolves around knowledge. Here, however, it is important to take into account their self-image as scientists while in fact having little grasp of this specific area. The line to take is that of ‘discursive selfenlightenment'. This means that the issue of drug residues in water cannot be conveyed to doctors by laymen but must be taken up and imparted via the major media of the medical profession and by medical association officials (top-down).
The second stage, namely that of raising doctors’ awareness of the problem, is likely to encounter strong resistance from some of the medical profession. They may fear a threat of interference in treatment plans from an environmental perspective and feel the need to emphasise that doctors are not responsible for environmental issues. As shown in empirical surveys by ISOE, such a defensive reaction is ultimately down to an underlying taboo: people are loath to discuss the over-prescription taking place in countless doctors' surgeries. And it is a fact that this problem cannot be tackled from the environmental perspective, although the goals of water protection are indeed consistent with the economic objectives of restraint in the deployment of drugs. Any communications measure for this target group has to bear in mind that doctors feel restricted by what they see as a ‘perpetual health reform' no matter which government is in power. On no account are they prepared to tolerate any new form of regulation, in this case for environmental reasons.
An entirely different view of the problem is taken by ‘critical doctors' such as specialists in environmental health and those with a naturopathic focus. They are interested in the problem because they see a connection between the quality of our environment and our health. What is more, they have patients keen to be prescribed as few drugs as possible and who are instead interested in ‘talking medicine'. So, any communication strategy intent on tackling the difficult problem of oversubscribing drugs needs to look carefully at the experiences of these medical professionals and also at a ‘bottom-up strategy'.
Implementation of strategic communications should be entrusted to an agency with experience in ‘issue management'. Knowledge of social marketing and the influencing of behaviour are further prerequisites. All important decisions should be taken by a consensus committee (‘MeriWa'1 round table), in which the medical profession, pharmacists and consumers are represented.
We test whether investor mood affects trading with data on all stock market transactions in Finland, utilizing variation in daylight and local weather. We find some evidence that environmental mood variables (local weather, length of day, daylight saving and lunar phase) affect investors’ direction of trade and volume. The effect magnitudes are roughly comparable to those of classical seasonals, such as the Monday effect. The statistical significance of the mood variables is weak in many cases, however. Only very little of the day-to-day variation in trading is collectively explained by all mood variables and calendar effects, but lower frequency variation seems connected to holiday seasons.