The semantic distinction between "risk" and "danger": a linguistic analysis

The analysis combines frame semantic and corpus linguistic approaches in analyzing the role of agency and decision making in the semantics of the words "risk" and "danger" (both nominal and verbal uses). In frame semantics, the meanings of "risk" and of related words, such as "danger," are analyzed against the background of a specific cognitive-semantic structure (a frame) comprising frame elements such as Protagonist, Bad Outcome, Decision, Possession, and Source. Empirical data derive from the British National Corpus (100 million words). Results indicate both similarities and differences in use. First, both "risk" and "danger" are commonly used to represent situations having potential negative consequences as the result of agency. Second, "risk" and "danger," especially their verbal uses (to risk, to endanger), differ in agent-victim structure, i.e., "risk" is used to express that a person affected by an action is also the agent of the action, while "endanger" is used to express that the one affected is not the agent. Third, "risk," but not "danger," tends to be used to represent rational and goal-directed action. The results therefore to some extent confirm the analysis of "risk" and "danger" suggested by German sociologist Niklas Luhmann. As a point of discussion, the present findings arguably have implications for risk communication.     

Environmental Risk Assessors as Honest Brokers or Stealth Advocates

Risk assessment ought to provide a solid, evidence base to risk management in the development of environmental policy and decisions, where the risk assessors act without advocacy as honest brokers of science advice. But there are concerns that the values of the risk assessors might undermine the objectivity of the process. For similar reasons, there is suspicion that more interaction between risk assessors and risk managers might contaminate the science. On the contrary, here the argument is that making risk assessment more management‐ and value‐relevant, through more effective dialogue, provides a better foundation for objective science advice.     

Approximations and Heuristics for the "Cause-Modified" Life Table

Life-table analysis can help to gauge the lifetime impacts that accrue from modifications to (age-specific) baseline mortality. Modifications of interest include those stemming from risk-factor-related exposures or from interventions. The specific algorithm used in these analyses can be called a cause-modified life table (a generalization of the cause-deleted life table). The author presents an approach for approximating that algorithm and uses it to obtain remarkably simplified expressions for approximating three indices of common interest: life-years lost (LYL), excess lifetime risk ratio (ELRR), and risk of exposure-induced death (REID). These efforts are restricted to the special case of multiplicative increases to baseline mortality (modeled as an excess rate ratio, ERR). The simplified expressions effectively "break open" what is often treated as a "black-box" calculation. Several insights result. For a practical range of risk factor impacts (ERRs), each index can be related to the ERR as a function of a baseline summary statistic and a "characteristic number" specific to the population and cause of interest. Conveniently, those numbers help form "rules of thumb" for translating among the three indices and suggest heuristics for extrapolating indices across populations and causes of death.     

Risk Perception of the "Mad Cow Disease" in France: Determinants and Consequences

Since 1996, when bovine spongiform encephalopathy (BSE) was assessed as a possible human transmissible disease, a variant of Creutzfeldt-Jakob disease (vCJD), French people have entered into a long period of fear and avoidance of beef and bovine byproducts, which produced an unprecedented collapse in the beef market. This article deals with the perceived risk of the "mad cow disease" (MCD) in the French general population. Two surveys were conducted on a representative sample of the adult population, the first one in 2000 during the peak of the crisis and the second one 13 months later in a quieter period. The main assumption we made was that changes in beef consumption are strongly related to the perceived risk of MCD, which we defined as people's cognitive and affective responses to hazard. Our objective was to identify the determinants and consequences of this perceived risk and to compare them in different sociopolitical contexts. The results issued from a bivariate and multivariate analysis show that: (i) the distribution of most of the variables significantly related to the perceived risk identified in the first survey had changed in the second survey, in relation with the reduction of worry and the resumption of national beef consumption; (ii) the propensity for self-protection through avoiding or ceasing beef eating was more related to feelings of worry than to subjective vCJD risk assessments; and (iii) the main determinant of less avoidance to beef products was the preference for beef, a feeling identified prior to emergence of the risk of MCD, remaining unchanged in various contexts.     

A Simple Formula for Calculating the "Mass Density" of a Lognormally Distributed Characteristic: Applications to Risk Analysis

Statements such as "80% of the employees do 20% of the work" or "the richest 1% of society controls 10% of its assets" are commonly used to describe the distribution or concentration of a variable characteristic within a population. Analogous statements can be constructed to reflect the relationship between probability and concentration for unvarying quantities surrounded by uncertainty. Both kinds of statements represent specific usages of a general relationship, the "mass density function," that is not widely exploited in risk analysis and management. This paper derives a simple formula for the mass density function when the uncertainty and/or the variability in a quantity is lognormally distributed; the formula gives the risk analyst an exact, "back-of-the-envelope" method for determining the fraction of the total amount of a quantity contained within any portion of its distribution. For example, if exposures to a toxicant are lognormally distributed with σ_{in x}= 2, 50% of all the exposure is borne by the 2.3% of persons most heavily exposed. Implications of this formula for various issues in risk assessment are explored, including: (1) the marginal benefits of risk reduction; (2) distributional equity and risk perception; (3) accurate confidence intervals for the population mean when a limited set of data is available; (4) the possible biases introduced by the uncritical assumption that extreme "outliers" exist; and (5) the calculation of the value of new information.     

Variations in Concepts of "Susceptibility" in Risk Assessment

The Food Quality Protection Act and the 1996 amendments to the Safe Drinking Water Act are two of the most recent examples of legislation calling for protection of susceptible subpopulations. As regulatory deadlines draw nearer, controversies in scientific and policy arenas increase about incorporating susceptibility in risk assessment. The previously accepted working definition of "susceptibility" has already been called into question. Part of the controversy results from different disciplines conceiving of susceptibility in different ways. Understanding the conceptual differences embodied within definitions can provide a basis on which a revised working definition may be developed across disciplines. The purposes of this article are to describe the varying definitions of susceptibility, discuss the differing concepts incorporated in the definitions, and recommend ways in which susceptibility may be defined and framed to meet current risk assessment needs. The present analysis of definitions from the fields of ecology, biology, engineering, medicine, epidemiology, and toxicology revealed different emphases that relate to the underlying perspectives and methods of each field. It is likely that susceptibility will need to be formally defined for public policy purposes, but until that time, the use of more informal communication and decision-making processes is suggested to develop and utilize a new working consensus on the definition of susceptibility.     

不同“融资铜”模式的风险识别与警示

针对现实中防范"融资铜"风险的需要,本文归纳提炼出三种不同的"融资铜"模式,并就其操作过程中所面临的利率风险、人民币价格波动风险和标的物价格波动风险及其联动性进行深入剖析;采用GARCH-Copula模型,利用上述风险的收益数据及风险因子数据(2011年5月至2014年4月)对单一风险及综合风险进行识别与模拟,对不同模式中综合风险分布进行对比分析,根据在险价值做出警示。结果表明:"融资铜"是一种套利行为,其综合风险收益具有右偏特性,并明显呈现出尖峰厚尾的风险分布特征,相同置信水平下在险价值显著高于单一风险在险价值;其存在极值损失,发生极值损失对企业自身及金融系统会造成严重影响,因此相关监管机构必须对"融资铜"加以重视并实施控制,以引导资金回归实体经济之中。     

Exploring the "Psychometric Paradigm": Comparisons Between Aggregate and Individual Analyses

The "psychometric paradigm" developed by Slovic, Fischhoff, and Lichtenstein was a landmark in research about public attitudes toward risks. One problem with this work, however, was that (at least initially) it did not attempt to distinguish between individuals or groups of people, except "experts" vs. "lay people." This paradigm produced a "cognitive map" of hazards, and the assumption seemed to be that the characteristics identified were inherent attributes of risk. This paper examines the validity of this assumption. A questionnaire survey similar to those designed by Slovic et al. was conducted, but the data were analyzed at both the aggregate level, using mean scores, and at the level of individuals ( N = 131 Norwich residents). The results reported here demonstrate that (1) individuals vary in their perception of the same risk issue; (2) individuals vary in their rating of the same risk characteristics on the same risk issue; and (3) some of the strong intercorrelations observed between risk characteristics at the aggregate level are not supported when the same data are analysed at the level of individuals. Despite these findings, the relationship between risk characteristics and risk perceptions inferred by the psychometric paradigm did hold true at the level of individuals, for most—but not all—of the characteristics. In particular, the relationship between "lack of knowledge to those exposed" and risk perceptions appears to be a complex one, a finding which has important implications for risk communication strategies.     

The European Commission''s White Paper "Strategy for a Future Chemicals Policy": A Review

The European Commission has proposed a radical new policy for the regulation of chemicals in the EU in the form of a White Paper. The current system has separate regulatory provisions for "new" chemicals (introduced to the market since September 18, 1981) and "existing" chemicals (on the market before September 18,1981). The proposed future policy will have a single unified regulatory system for all chemicals, which should result in better regulation of chemicals in the EU single market. It will be better because risk assessments will be targeted at the chemicals of greatest concern. Furthermore, the system will be streamlined, making regulatory decisions faster, and thus reducing the so-called burden of the past (the large number of chemicals that have never been assessed for their risks to human health or the environment). The new system incorporates the precautionary principle, which will be applied where there is an early indication of unacceptable risk or where there is undue delay in the regulatory process. Moreover, the new strategy is intended to promote greater transparency for all stakeholders.     

The Scientific and Methodological Basis of a Systematic Approach to Human Behavior Management

Behavior management has become an increasingly popular approach to the improvement of human work effectiveness. Philosophically, the origins of this movement can be traced almost directly to the Skinnerian distinction between operant and respondent behavior. The implications of this distinction have led to a reinforcerment based technology of behavior change with which behavior management is closely identified. In the present paper, it is argued that such an alignment places the behavior management approach in too narrow a perspective. In its most fundamental sense, this movement is both a scientific and methodological endeavor. As a science, behavior management has an empirical character marked by concerns for the objectivity and validity of its knowledge. Within this framework, the methodology it employs has many features in common both with procedures of "the experimental analysis of behavior" and with the tradition of "quasi-experimentation." The essential features of this common methodology are outlined. and their relation to several imponant types of validity issues is noted. In the final analysis, it is suggested that behavior management can be viewed more profitably as a general purpose "tool" for the evaluation of any potentially effective management practice than as a technological outgrowth of operant conditioning.     

Farmer Knowledge and Risk Analysis: Postrelease Evaluation of Herbicide-Tolerant Canola in Western Canada

The global controversy regarding the use of genetically modified (GM) crops has proved to be a challenge for "science-based" risk assessments. Although risk analysis incorporates societal perspectives in decision making over these crops, it is largely predicated on contrasts between "expert" and "lay" perspectives. The overall objective of this study is to explore the role for farmers' knowledge, and their decade-long experience with herbicide-tolerant (HT) canola, in the risk analysis of GM crops. From 2002 to 2003, data were collected using interviews ( n = 15) and mail surveys ( n = 370) with farmers from Manitoba and across Canada. The main benefits associated with HT canola were management oriented and included easier weed control, herbicide rotation, and better weed control, whereas the main risks were more diverse and included market harm, technology use agreements (TUAs), and increased seed costs. Benefits and risks were inversely related, and the salient factor influencing risk was farmer experiences with HT canola volunteers, followed by small farm size and duration using HT canola. These HT volunteers were reported by 38% of farmers, from both internal (e.g., seedbank, farm machinery, etc.) and external (e.g., wind, seed contamination, etc.) sources, and were found to persist over time. Farmer knowledge is a reliable and rich source of information regarding the efficacy of HT crops, demonstrating that individual experiences are important to risk perception. The socioeconomic nature of most risks combined with the continuing "farm income crisis" in North America demonstrates the need for a more holistic and inclusive approach to risk assessment associated with HT crops and, indeed, with all new agricultural technology.     

基于改进模糊综合评价法的信用评估体系研究—以我国中小上市公司为样本的实证研究

分析我国中小企业目前的融资困境及其根源,提出改进模糊综合评价模型—AFF模型(Analytic hierarchy process- Factor Analysis- Fuzzy Comprehensive Evaluation)对中小企业进行信用评估。该模型在进行指标权重决策问题时,不仅考虑了复杂大群体决策的不确定性,更是将主观赋权法和客观赋权法思想相结合,提出以基于群决策的AHP方法确定主观权重,基于因子分析法(FA)确定客观权重,最后将主客观权重集结得到指标的综合权重。模型既克服了传统主观因素赋权的不足,又充分考虑客观因素,而且引入了群体决策的思想,拓展了模糊综合评价法的应用,更具理论实际意义。选取信息技术服务业53家公司为样本,利用该模型进行了实证分析,验证了该模型的适用性、稳定性和客观性。分析结果表明,采用AFF模型能准确地得到公司的信用等级,并能发现导致公司信用状况不佳的相关因素,通过对相关因素的剖析,帮助领导者和决策者改善公司信用状况,具有较强的实践意义。AFF模型在各类理论与实践的综合评价中均具有应用和推广价值。     

The Risks of "Putting the Numbers in Context": A Cautionary Tale

Despite the warnings of risk communication specialists, members of the technical community often urge that technological risks should be "put in context" by comparisons against risks that are more familiar. Little quantitative evidence is available on the actual behavioral consequences of such risk comparison efforts. In the present study, subjects were presented with two types of information about a hazardous waste incinerator–a simplified statistical summary and a comparison of incinerator risks against the risks of smoking. Statistical information led to a modest increase in the reported willingness to vote in favor of the incinerator in a community referendum, but the comparison against cigarettes led to a slight decrease in support; the difference between the two messages is statistically significant ( p <.001). In combination with other results, this study's findings suggest that an implicit assumption of risk comparisons is in error: Opposition to controversial technologies may have little to do with citizens' levels of information about technology, having more to do with citizens' levels of trust in governmental and industrial actors.     

The Weakest Link: Demonstrating the Inconsistency of "Appropriate Levels of Protection" in Australia-Salmon

In Australia-Salmon, the WTO Appellate Body found Australia to be in violation of the WTO SPS Agreement based on the inconsistency of the "appropriate level of protection" underlying various SPS measures. Article 5.5 of the SPS Agreement prohibits arbitrary or unjustifiable distinctions in "appropriate levels of protection" if such distinctions result in discrimination or a disguised restriction on international trade. In Australia-Salmon, Canada challenged Australia's import ban on salmon. Australia permitted the entry of other fish products that were known to host some of the same diseases cited by Australia in justifying its salmon import ban. The distinction in the "appropriate levels of protection" between Australia's regulation of salmon and its treatment of these other fish products was found to be "arbitrary or unjustified" and to have "resulted in a restriction on international trade."Australia-Salmon was the first WTO decision to find an Article 5.5 violation. Canada successfully made a "weakest link" argument to undercut Australia's regulatory justification. The decision rests on the relationship between the risk purportedly justifying the salmon import ban and the risk seemingly ignored in Australia's treatment of other fish products-the regulatory "situations" compared concerned the identical pathogens with the identical potential consequences. As such, Australia-Salmon may be an example of a category of regulatory "chains" that are peculiarly exposed to Article 5.5 challenge. In responding to the Appellate Body's ruling, Australia reduced its limits on salmon and imposed new restrictions on the other fish products. The outcome suggests that a challenge of one SPS measure under Article 5.5 may lead to the imposition of new restrictions on other imported products-an unexpected result for the free trade regime.     

An Integrated Methodology for Assessment and Selection of the Project Risk Response Actions

In a systematic process of project risk management, after risk assessment is implemented, the risk analysts encounter the phase of assessment and selection of the project risk response actions (RA). As indicated by many researchers, there are less systematic and well-developed solutions in the area of risk response assessment and selection. The present article introduces a methodology including a modeling approach with the objective of selecting a set of RA that minimizes the undesirable deviation from achieving the project scope. The developed objective function comprises the three key success criteria of a project, namely, time, quality, and cost. Our model integrates overall project management into the project risk response planning (P2RP). Furthermore, the proposed model stresses on an equivalent importance for both "risk" and "response." We believe that applying the proposed model helps the project risk analyst in most effective and efficient manner dealing with his or her complicated RA selection problems. The application of the proposed model was implemented in projects in the construction industry in which it showed tremendous time, cost, and quality improvements.     

The "Trust Gap" Hypothesis: Predicting Support for Biotechnology Across National Cultures as a Function of Trust in Actors

Using results from the 1999 Eurobarometer survey and a parallel telephone survey done in the United States in 2000, this study explored the relationship between levels of knowledge, educational levels, and degrees of encouragement for biotechnology development across a number of medical and agricultural applications. This cross-cultural exploration found only weak relationships among these variables, calling into question the common assumption that higher science literacy produces greater acceptance (whether or not mediated by lower perceived risk). The relationship between encouragement and trust in specific social institutions was also weak. However, regression analysis based on "trust gap" variables (defined as numerical differences between trust in specific pairs of actors) did predict national levels of encouragement for several applications, suggesting an opinion formation climate in which audiences are actively choosing among competing claims. Differences between European and U.S. reactions to biotechnology appear to be a result of different trust and especially "trust gap" patterns, rather than differences in knowledge or education.     

Representation,Propagation, and Decision Issues in Risk Analysis Under Incomplete Probabilistic Information

This article tries to clarify the potential role to be played by uncertainty theories such as imprecise probabilities, random sets, and possibility theory in the risk analysis process. Instead of opposing an objective bounding analysis, where only statistically founded probability distributions are taken into account, to the full‐fledged probabilistic approach, exploiting expert subjective judgment, we advocate the idea that both analyses are useful and should be articulated with one another. Moreover, the idea that risk analysis under incomplete information is purely objective is misconceived. The use of uncertainty theories cannot be reduced to a choice between probability distributions and intervals. Indeed, they offer representation tools that are more expressive than each of the latter approaches and can capture expert judgments while being faithful to their limited precision. Consequences of this thesis are examined for uncertainty elicitation, propagation, and at the decision‐making step.     

Application of Correspondence Analysis in the Assessment of Mine Tailings Dam Breakage Risk in the Mediterranean Region

A new statistical approach for preliminary risk evaluation of breakage in tailings dam is presented and illustrated by a case study regarding the Mediterranean region. The objective of the proposed method is to establish an empirical scale of risk, from which guidelines for prioritizing the collection of further specific information can be derived. The method relies on a historical database containing, in essence, two sets of qualitative data: the first set concerns the variables that are observable before the disaster (e.g., type and size of the dam, its location, and state of activity), and the second refers to the consequences of the disaster (e.g., failure type, sludge characteristics, fatalities categorization, and downstream range of damage). Based on a modified form of correspondence analysis, where the second set of attributes are projected as "supplementary variables" onto the axes provided by the eigenvalue decomposition of the matrix referring to the first set, a "qualitative regression" is performed, relating the variables to be predicted (contained in the second set) with the "predictors" (the observable variables). On the grounds of the previously derived relationship, the risk of breakage in a new case can be evaluated, given observable variables. The method was applied in a case study regarding a set of 13 test sites where the ranking of risk obtained was validated by expert knowledge. Once validated, the procedure was included in the final output of the e-EcoRisk UE project (A Regional Enterprise Network Decision-Support System for Environmental Risk and Disaster Management of Large-Scale Industrial Spills), allowing for a dynamic historical database updating and providing a prompt rough risk evaluation for a new case. The aim of this section of the global project is to provide a quantified context where failure cases occurred in the past for supporting analogue reasoning in preventing similar situations.     

Artifactual Uncertainty in Risk Analysis

The field of comparative risk analysis of electrical energy alternatives has traditionally been plagued by highly uncertain estimates of risk rates, and consequently by conflicting judgements of relative risk. To the extent that this uncertainty arises from traditional sources–imperfect observations or actual variance in the data–it can be brought within a Bayesian statistical framework which allows policy conclusions to be formulted and tested at different levels of confidence. It is shown that there are important methodological or "artifactual" sources of uncertainty, however, that cannot be treated by statistical means; these require conceptual advances for their resolution. By identifying these sources of uncertainty in simple thought experiments and examples, it is shown in what ways the concept of attributable risk, which is the policy-maker's chief concern, must be sharpened and refined to have unambiguous meaning. The conventional "multilinear" formula for calculating risk indices is challenged as a measure of attributable risk, and directions for further research to improve the methodological foundations of comparative risk analysis are identified.