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Este artículo estudia las condiciones bajo las cuales se han llevado a cabo las consultas populares mineras en Colombia y sus efectos en el sistema político democrático. El análisis se basa en un estudio de caso de las consultas populares contra el proyecto minero La Colosa, en el municipio de Cajamarca (Tolima). Para el caso de análisis, se parte de las aproximaciones teóricas sobre las estructuras de oportunidad política y difusión, y de democracia participativa. La realización de una consulta popular minera es el resultado de cambios políticos e institucionales a corto y largo plazo, y de diferentes mecanismos de difusión. De igual forma, se señala que las consultas populares tienen impactos en lo político: movilizan una gran parte de la población, influyen en la agenda política y las reglas institucionales, y abren nuevos espacios de debate y participación democrática. This article studies the conditions in which referendums (consultas populares) on mining are held in Colombia and their effects on the democratic political system. It is in the form of a case study of the referendums which arose from local communities´ opposition to the La Colosa mining project, in the town of Cajamarca (Tolima). The analysis is based on theoretical approaches to the structure of political opportunity and local mobilization in the context of participatory democracy. The holding of a referendum (or “consultation with the people”) results from short- and long-term political and institutional changes and the use of different mechanisms for spreading opinions. In the same manner, the article points out that such referendums have impacts on the political sphere: they mobilize a large part of the population, influence political agendas and institutional norms and open new opportunities for debate and democratic participation. Este artigo estuda as condições sob as quais as consultas públicas mineradoras têm ocorrido na Colômbia e seus efeitos no sistema político democrático. A análise se baseia num estudo de caso das consultas públicas contra o projeto minerador La Colosa, no município de Cajamarca (estado de Tolima). Para o caso de análise, parte-se das aproximações teóricas sobre as estruturas de oportunidade política e difusão, e de democracia participativa. A realização de uma consulta pública é resultado de mudanças políticas e institucionais em curto e longo prazo, e de diferentes mecanismos de difusão. Além disso, demonstra-se que as consultas públicas têm impactos no âmbito político: mobilizam grande parte da população, influenciam na agenda política e nas regras institucionais, e abrem novos espaços para debate e participação democrática.

When reading a text describing an everyday activity, comprehenders build a model of the situation described that includes prior knowledge of the entities, locations, and sequences of actions that typically occur within the event. Previous work has demonstrated that such knowledge guides the processing of incoming information by making event boundaries more or less expected. In the present ERP study, we investigated whether comprehenders’ expectations about event boundaries are influenced by how elaborately common events are described in the context. Participants read short stories in which a common activity (e.g., washing the dishes) was described either in brief or in an elaborate manner. The final sentence contained a target word referring to a more predictable action marking a fine event boundary (e.g., drying) or a less predictable action, marking a coarse event boundary (e.g., jogging). The results revealed a larger N400 effect for coarse event boundaries compared to fine event boundaries, but no interaction with description length. Between 600 and 1000 ms, however, elaborate contexts elicited a larger frontal positivity compared to brief contexts. This effect was largely driven by less predictable targets, marking coarse event boundaries. We interpret the P600 effect as indexing the updating of the situation model at event boundaries, consistent with Event Segmentation Theory (EST). The updating process is more demanding with coarse event boundaries, which presumably require the construction of a new situation model. Electronic supplementary material The online version of this article (10.3758/s13421-017-0766-4) contains supplementary material, which is available to authorized users.

We examine the effect of CSR information on stakeholder decision-making, specifically on supply-chain contracting. To obtain plausibly exogenous variation in CSR information, we exploit the 2017 expansion of CSR rating coverage from Russell 1000 to Russell 2000 firms (hereafter, “treated firms”) by Thomson Reuters Asset4. Using a difference-in-differences design with the previously covered Russell 1000 supplier firms as the control group, we find a negative effect of the CSR information shock for treated suppliers with comparatively low CSR ratings. On average, these suppliers experience reductions in their number of contracts and corporate customers. In cross-sectional analyses, we document variation in our treatment effects consistent with two underlying mechanisms: (i) benchmarking of suppliers' CSR by corporate customers and (ii) CSR-related public pressure on customer-supplier contracting. Collectively, our findings provide novel evidence on the causal effect of CSR information on stakeholder decision-making.

In more and more situations, artificially intelligent algorithms have to model humans’ (social) preferences on whose behalf they increasingly make decisions. They can learn these preferences through the repeated observation of human behavior in social encounters. In such a context, do individuals adjust the selfishness or prosociality of their behavior when it is common knowledge that their actions produce various externalities through the training of an algorithm? In an online experiment, we let participants’ choices in dictator games train an algorithm. Thereby, they create an externality on future decision making of an intelligent system that affects future participants. We show that individuals who are aware of the consequences of their training on the pay- offs of a future generation behave more prosocially, but only when they bear the risk of being harmed themselves by future algorithmic choices. In that case, the externality of artificially intelligence training induces a significantly higher share of egalitarian decisions in the present.

Natural language semantics has recently sought to combine the complementary strengths of formal and distributional approaches to meaning. More specifically, proposals have been put forward to augment formal semantic machinery with distributional meaning representations, thereby introducing the notion of semantic similarity into formal semantics, or to define distributional systems that aim to incorporate formal notions such as entailment and compositionality. However, given the fundamentally different 'representational currency' underlying formal and distributional approaches - models of the world versus linguistic co-occurrence - their unification has proven extremely difficult. Here, we define a Distributional Formal Semantics that integrates distributionality into a formal semantic system on the level of formal models. This approach offers probabilistic, distributed meaning representations that are also inherently compositional, and that naturally capture fundamental semantic notions such as quantification and entailment. Furthermore, we show how the probabilistic nature of these representations allows for probabilistic inference, and how the information-theoretic notion of "information" (measured in terms of Entropy and Surprisal) naturally follows from it. Finally, we illustrate how meaning representations can be derived incrementally from linguistic input using a recurrent neural network model, and how the resultant incremental semantic construction procedure intuitively captures key semantic phenomena, including negation, presupposition, and anaphoricity. To appear in: Information and Computation (WoLLIC 2019 Special Issue)

This is a repository associated with the paper "Positional biases in predictive processing of intonation" and contains materials, data and scripts: Abstract: Real-time speech comprehension is challenging because communicatively relevant information is distributed throughout the entire utterance. In five mouse tracking experiments on German and American English, we probe if listeners, in principle, use non-local, early intonational information to anticipate upcoming referents. Listeners had to select a speaker-intended referent with their mouse guided by intonational cues, allowing them to anticipate their decision by moving their hand toward the referent prior to lexical disambiguation. While German listeners (Exps. 1-3) seemed to ignore early pitch cues, American English listeners (Exps. 4-5) were in principle able to use these early pitch cues to anticipate upcoming referents. However, many listeners showed no indication of doing so. These results suggest that there are important positional asymmetries in the way intonational information is integrated, with early information being paid less attention to than later cues in the utterance.

Existing research on Korean Wave celebrities has focused on their transnational character at the expense of a thorough consideration of the phenomena’s emergence as part of the wider transformation of the Korean broadcasting and entertainment industry. This article draws on the analysis of existing literature and in-depth interviews to demonstrate that Korean Wave celebrity emerges as a result of the flexibilization in the Korean television drama industry’s production process, which in turn is the product of globalization and financialization of the Korean broadcasting industry from the late 1980s and 1990s, respectively. The combined effects of these processes led to the creation of the K-drama conglomerate. Korean Wave celebrity is central to this system, with the celebrity image functioning as fixed capital and rendering invisible the very real labour performed within the K-drama conglomerate. That being so, the K-drama conglomerate and the Korean Wave celebrity are excellent examples of capitalism’s latest manoeuvre: the creation of intangible commodities capable of expanding the channels of profit by attracting attention and rendering related labour invisible.

AbstractAbsolutism about mass within Newtonian gravity claims that mass ratios obtain in virtue of absolute masses. Comparativism denies this. Defenders of comparativism promise to recover all the ...

In empirical macroeconomics, proxy structural vector autoregressive models (SVARs) have become a prominent path towards detecting monetary policy (MP) shocks. However, in practice, the merits of proxy SVARs depend on the relevance and exogeneity of the instrumental information employed. Our Monte Carlo analysis sheds light on the performance of proxy SVARs under realistic scenarios of low relative signal strength attached to MP shocks and alternative assumptions on instrument accuracy. In an empirical application with US data we argue in favor of the specific informational content of instruments based on the dynamic stochastic general equilibrium model of Smets and Wouters (2007). A joint assessment of the benchmark proxy SVAR and the outcomes of a structural covariance change model imply that from 1973 until 1979 monetary policy contributed on average between 2.2 and 2.4 units of inflation in the GDP deflator. For the so-called Volcker disinflation starting in 1979Q4, the benchmark structural model shows that the Fed’s policy measures effectively reduced the GDP deflator within three years (i.e. by -3.06 units until 1982Q3). While the empirical analysis largely conditions on a small-dimensional trinity SVAR, the benchmark proxy SVAR shocks remain remarkably robust within a six-dimensional factor-augmented model comprising rich information from Michael McCracken’s database (FRED-QD).

Highlights: • Since 1960, management for biological invasions totalled at least $95.3 billion. • Damage costs from invasions were substantially higher ($1130.6 billion). • Pre-invasion management spending is 25-times lower than post-invasion. • Management and damage costs are increasing rapidly over time. • Proactive management substantially reduces future costs at the trillion-$ scale. Abstract: The global increase in biological invasions is placing growing pressure on the management of ecological and economic systems. However, the effectiveness of current management expenditure is difficult to assess due to a lack of standardised measurement across spatial, taxonomic and temporal scales. Furthermore, there is no quantification of the spending difference between pre-invasion (e.g. prevention) and post-invasion (e.g. control) stages, although preventative measures are considered to be the most cost-effective. Here, we use a comprehensive database of invasive alien species economic costs (InvaCost) to synthesise and model the global management costs of biological invasions, in order to provide a better understanding of the stage at which these expenditures occur. Since 1960, reported management expenditures have totalled at least US$95.3 billion (in 2017 values), considering only highly reliable and actually observed costs — 12-times less than damage costs from invasions ($1130.6 billion). Pre-invasion management spending ($2.8 billion) was over 25-times lower than post-invasion expenditure ($72.7 billion). Management costs were heavily geographically skewed towards North America (54%) and Oceania (30%). The largest shares of expenditures were directed towards invasive alien invertebrates in terrestrial environments. Spending on invasive alien species management has grown by two orders of magnitude since 1960, reaching an estimated $4.2 billion per year globally (in 2017 values) in the 2010s, but remains 1–2 orders of magnitude lower than damages. National management spending increased with incurred damage costs, with management actions delayed on average by 11 years globally following damage reporting. These management delays on the global level have caused an additional invasion cost of approximately $1.2 trillion, compared to scenarios with immediate management. Our results indicate insufficient management — particularly pre-invasion — and urge better investment to prevent future invasions and to control established alien species. Recommendations to improve reported management cost comprehensiveness, resolution and terminology are also made.