Does social capital increase public support for economic globalisation?

The dominant explanation of public attitudes vis‐à‐vis economic globalisation focuses on re‐distributional implications, with an emphasis on factor endowments and government‐sponsored safety nets (the compensation hypothesis). The empirical implication of these theoretical arguments is that in advanced economies, on which this article focuses, individuals endowed with less human and financial capital will be more likely to experience income losses. Hence they will oppose economic openness unless they are compensated by the government. It is argued here that including social capital in the analysis can fill two gaps in explanations relying on factor endowments and the compensation hypothesis. First, generalised trust – one key aspect of social capital – constitutes a personal endowment alongside human and financial capital. Second, structural social capital – another key aspect of social capital – can be regarded as a nongovernmental social safety net that can compensate for endowment‐related disadvantages of individuals. Both aspects of social capital are expected to contribute, for distinct reasons, to more positive views on economic openness. The empirical testing relies on survey data for two countries: Switzerland and the United States. For both countries, the results indicate that generalised trust has a strong, positive effect on public opinion of economic globalisation, whereas structural social capital has no effect.     

We’ve got them on the list: contacting,canvassing and voting in a British general election campaign

Many voters are canvassed by British political parties in the months and weeks immediately preceding a general election – but many are not. The parties are selective in whom they make contact with, and where. They focus on those in marginal constituencies who are likely to vote for them – and having identified them early in the process they contact them again, seeking to sustain that support in the seats where the contest overall will be either won or lost. A large panel survey conducted immediately before and after the 2010 general election allows detailed insight into that pattern of canvassing, identifying who the parties contacted, and where, in the six months prior to the election being called, and then who were contacted during the month immediately preceding polling day, and in how many different ways. Each party focused on its own supporters in the marginal constituencies, and in the middle-class neighbourhoods within those constituencies, but whereas the Conservatives, expecting to win the election, campaigned most intensively in the seats they lost by relatively small margins at the previous contest, Labour and the Liberal Democrats fought defensive campaigns in the seats that they won then. Such tactics were successful; the more ways in which respondents were contacted by a party, the more likely they were to vote for it.     

Comparing Self-Report to Official Measures of Inmate Misconduct

Studies have revealed systematic measurement errors in self-report data on crime and deviance resulting from poor recall and/or underreporting by certain groups of respondents. Official crime data have also been criticized, but for different reasons (e.g. gross underestimations of less serious offenses). Very similar observations have been made in studies of inmate crime (misconduct committed by prison inmates). Despite these criticisms, official data on inmate misconduct continue to be the most frequently used data in related studies. This study compared self-report and official data on inmate assaults, property thefts, and drug offenses for samples of inmates from 46 correctional institutions for adults in Ohio and Kentucky. Findings revealed that officially recorded misconduct underestimates the total volume of inmate crime. Analyses designed to uncover sources of the divergence between self-reported misconduct and officially recorded misconduct revealed far more consistencies than differences in the magnitude of inmate and facility effects on the different types of offenses. A few important differences did emerge in the magnitude of effects such as amount of time served (at the individual level) and facility population size (at the aggregate level).     

An Assessment of the Quality of Homicide Data in the Supplementary Homicide Reports: A Research Note

The Federal Bureau of Investigation (FBI)’s Supplementary Homicide Reports (SHR) is a national-level incident-based data clearinghouse for homicide events in the USA used in countless research studies to track homicide trends, test theory, and analyze policy. Despite its wide use, the SHR has well-known limitations. This research note examines the accuracy of the information in the SHR by comparing homicide cases in Newark, New Jersey with their respective data to determine the level of disagreement between the data sources, which variables exhibit the greatest disagreement, and the case-related variables related to the disagreement. Uniquely, we do this for cases where offenders are known in the SHR. Our findings suggest that variables such as victim-offender relationship and circumstance have high disagreement even when the SHR reports an offender, and that the most important covariate of this is time to close the homicide investigation with an arrest. Research implications of the results are discussed.     

隐私权视野下的网上公开裁判文书之限

裁判文书的上网是落实审判公开的一项有力措施,但其对隐私权的威胁亦不容忽视。裁判文书的全文上网原则上应预先获得当事人的同意,当然,若裁判文书涉及公共利益,则隐私权也应受到限制。但因公共利益的需要而将裁判文书上网时,仍应对具有可识别性的个人信息和其他重要信息予以保密。被害人、证人、未成年人的隐私权应予特殊保护。调解书原则上不应通过网络公开。     

Comparison of feature selection and data fusion of Fourier transform infrared and Raman spectroscopy for identifying watercolor ink

The identification of different kinds of watercolor inks is an important work in the field of forensic science. Four different kinds of watercolor ink Spectroscopy data fusion strategies (Fourier Transform Infrared spectroscopy and Raman spectroscopy) combined with a non-linear classification model (Extreme Learning Machine) were used to identify the brand of watercolor inks. The study chose Competitive Adaptive Reweighted Sampling (CARS), Random Frog (RF), Variable Combination Population Analysis-Genetic Algorithm (VCPA-GA), and Variable Combination Population Analysis-Iteratively Retains Informative Variables (VCPA-IRIV) to extract characteristic variables for mid-level data fusion. The Cuckoo Search (CS) algorithm is used to optimize the extreme learning machine classification model. The results showed that the classification capacity of the mid-level fusion spectra model was more satisfactory than that of single Infrared spectroscopy or Raman spectroscopy. The CS-ELM models based on infrared spectroscopy used to recognize the watercolor ink according to brands (ZHENCAI, DELI, CHENGUANG, and STAEDTLER) obtained an accuracy of 66.67% in the test set using all spectral datasets. The accuracy of CS-ELM models based on Raman spectroscopy was 67.39%. The characteristic wavelength selection algorithms effectively improved the accuracy of the CS-ELM models. The classification accuracy of the mid-level spectroscopy fusion model combined with the VCPA-IRIV algorithm was 100%. The data fusion method increased effectively spectral information. The method could satisfactorily identify different brands of watercolor inks and support the preservation of artifacts, paintings, and forensic document examination.     

Digital humanities and the history of working women: a cascade

In this introduction to the special issue on ‘Women's work in changing labour markets’, we argue that a combination of digital advances, notably the digitization of individual- and contextual-level data, the creation of internationally comparable occupation-based classifications, and the development of statistical models allowing for contextually informed analysis, has brought us to the brink of new developments in the field of women's work. Census and vital registration data contain more information on occupations of women than previously thought, and when used in combination with other digitized sources they allow one to assess the possible under-registration of women's work, as illustrated by some of the contributions to this special issue. Other contributions show how standardizing occupation-based classifications allows for temporal and regional comparisons of women's work and makes it feasible to study how community or regional characteristics influence that work. None of these developments – large-scale digitization of individual-level data, standardization of occupational titles and measures of stratification, and contextually informed analyses – is completely new; in some cases they are actually rooted in a venerable research tradition. However, in combination they might well constitute a cascade in the history of working women.     

Using EHRs to design drug repositioning trials: A devolved approach to data protection

One area where the application of data protection law has proven complex is in relation to the secondary usage of health data in EHRs for medical research. Here the tension between the privacy interests of patients and the risk of harm if such sensitive data are compromised, and on the other side, the potential societal value of utilizing the data for the benefit of medical science, is especially striking. In this paper, we consider the applicable provisions of the EU Data Protection Directive, and outline a general approach to patient data handling for research, which we believe to be compatible with relevant legal and ethical requirements. We then illustrate and apply this by reference to a specific EU FP7 project, involving EHR data processing to select patients for clinical pharmaceutical trials. After introducing the project (PONTE), we explain the ‘devolved’ data protection architecture it employs and provide a legal evaluation.     

Exploring the non-absolute nature of the right to data protection

In two recent judgements, the Court of Justice of the European Union stated that ‘The right to the protection of personal data is not, however, an absolute right, but must be considered in relation to its function in society’ (Eifert, para 48). This paper considers the ‘non-absolute’ nature of the right to data protection. Being a relatively new right, the boundaries of this right in the Charter are still somewhat unexplored. This paper considers five aspects that can be seen as setting boundaries to the otherwise absolute nature of the right to data protection: (a) consideration of the function of the right to data protection in society; (b) positive delimitations of the right that come from the formulation of the right (Article 8) in the Charter; (c) limitations on the right provided for in Article 52 of the Charter; (d) close connections with Article 7 of the Charter and Article 8 ECHR; and (e) the detailed provisions in current data protection secondary legislation and the future data protection regulation framework. Based on the reflections on each of these boundary-setting aspects, the paper argues that in spite of occasional vagueness and conflicting approaches of each of the aspects, understanding of the right to data protection has evolved since its first formulation in the Charter. There is a subtle and gradual distancing from the initial understanding of the close relationship with the right to private and family life. This gradual distancing is a positive development as the two have different foundations, scope and purposes. Yet it is only when both are taken together that the shared common objective of providing effective protection to citizens' personal and family life can be achieved.