Why Tolerate Conscience?

In Why Tolerate Religion?, Brian Leiter argues against the special legal status of religion, claiming that religion should not be the only ground for exemptions to the law and that this form of protection should be, in principle, available for the claims of secular conscience as well. However, in the last chapter of his book, he objects to a universal regime of exemptions for both religious and secular claims of conscience, highlighting the practical and moral flaws associated with it. We believe that Leiter identifies a genuine and important contemporary legal and philosophical problem. We find much to admire in his reasoning. However, we raise questions about two claims that are crucial for his argument. The first claim is that it is not religion as such, but conscience that deserves toleration and respect. The second claim is that respect for religion and conscience demands ‘principled toleration’ but does not entail stronger policies of legal exemptions. Against the first claim, we argue that Leiter does not successfully distinguish religious belief from secular conscience and morality; and he does not explain why secular conscience (which shares many of religious conscience’s epistemic features) deserves respect. Against the second claim, we argue that the most promising theories of legal exemptions are not classical theories of liberal toleration.     

Anti-immigrant parties in Europe: Ideological or protest vote?

Abstract. In this article we address the question whether or not the votes for anti–immigrant parties can be considered as protest votes. We define protest votes by the motives underlying electoral choices, building on earlier research done by Tillie (1995) and Van der Eijk & Franklin (1996). That research showed that ideological proximity and party size are the best predictors of party preference. On this basis we designed a typology of motives for party choice and how these motives would manifest themselves empirically. Analyzing the 1994 elections for the European Parliament for seven political systems we show that anti–immigrant parties attract no more protest votes than other parties do, with only one exception: the Dutch Centrumdemocraten. Voting for anti–immigrant parties is largely motivated by ideological and pragmatic considerations, just like voting for other parties. In addition, (negative) attitudes towards immigrants have a stronger effect on preferences for anti–immigrant parties than on preference for other parties. Social cleavages and attitudes towards European unification are of minor importance as determinants of preferences for anti–immigrant parties. The overall conclusion is that a rational choice model of electoral behavior has strong explanatory power for party preferences in general, but also for the support for anti–immigrant parties in particular.     

Watching the World: Seeing,Feeling—Understanding?

Books reviewed in this article:
Luc Boltanski, Distant Suffering: Morality, Media and Politics
Department for International Development, Viewing the World: A Study of British Television Coverage of Developing Countries     

The Negative Impact of Attorneys on Mediation Outcomes: A Myth or a Reality?

Mediators often do not welcome the presence of attorneys at the mediation table. Because of the apparent contradictions between both professions, many mediators believe that the presence of attorneys is prejudicial to the mediation process. Using empirical data collected from workplace mediation cases, we have explored the actual impact of the presence of attorneys. Our results indicate that the presence of an attorney does not significantly affect the outcome of a mediation, with two exceptions. First, the presence of attorneys in a mediation process reduces the parties' level of satisfaction with the mediator. Second, the presence of an attorney would appear to hinder the level of reconciliation possible between the parties.     

Does gang membership pay? Illegal and legal earnings through emerging adulthood*

Gang membership is believed to impede success in the legitimate economic market while simultaneously supporting success in the illegal market. We extend the study of the economic effects of gang membership by using a within‐ and between‐individual analytic design, decomposing gang membership into multiple statuses (i.e., entering a gang, continuously in a gang, leaving a gang, and inactive gang membership), examining legal and illegal earnings simultaneously, and accounting for factors endogenous to gang membership that may contribute to economic achievement. By using panel data from 1,213 individuals who participated in the Pathways to Desistance Study to conduct a multilevel path analysis, we find that active gang membership status is unrelated to legal earnings. Alternatively, entering a gang is associated with increased illegal earnings, attributable to changes in delinquent peers and drug use, whereas leaving a gang has a direct relationship with decreased illegal earnings. Our results indicate that the positive economic effect of gang membership (i.e., illegal earnings and total earnings) is short‐lived and that, on balance, the sum of the gang membership experience does not “pay” in terms of overall earnings.     

A New Approach of Juvenile Age Estimation using Measurements of the Ilium and Multivariate Adaptive Regression Splines (MARS) Models for Better Age Prediction

Juvenile age estimation methods used in forensic anthropology generally lack methodological consistency and/or statistical validity. Considering this, a standard approach using nonparametric Multivariate Adaptive Regression Splines (MARS) models were tested to predict age from iliac biometric variables of male and female juveniles from Marseilles, France, aged 0–12 years. Models using unidimensional (length and width) and bidimensional iliac data (module and surface) were constructed on a training sample of 176 individuals and validated on an independent test sample of 68 individuals. Results show that MARS prediction models using iliac width, module and area give overall better and statistically valid age estimates. These models integrate punctual nonlinearities of the relationship between age and osteometric variables. By constructing valid prediction intervals whose size increases with age, MARS models take into account the normal increase of individual variability. MARS models can qualify as a practical and standardized approach for juvenile age estimation.     

Drug Recognition Evaluation and Chemical Confirmation of a 25C‐NBOMe‐Impaired Driver

This case report details an individual arrested for drug‐impaired driving after leaving the scene of multiple motor vehicle collisions and evading police. The driver was examined by a drug recognition expert and failed the drug recognition evaluation. The driver admitted to using cocaine, marijuana, an antidepressant medication and “N‐bomb,” a novel psychoactive substance that possesses hallucinogenic properties. Toxicological analyses at the Centre of Forensic Sciences’ Toronto laboratory revealed only the substance 2‐[4‐chloro‐2,5‐dimethoxyphenyl]‐N‐[(2‐methoxyphenyl)methyl]ethanamine (25C‐NBOMe) in the accused's urine. This is the first report in which 25C‐NBOMe was identified through DRE and toxicological analyses in a drug‐impaired driver.     

Origin,Analytical Characterization,and Use of Human Odor in Forensics

Developing a strategy to characterize the odor prints of individuals should be relevant to support identification obtained using dogs in courts of justice. This article proposes an overview of the techniques used for the forensic profiling of human odor. After reviewing the origin of human odor—both genetic and physiological—the different analytical steps from sample collection to statistical data processing are presented. The first challenge is the collection of odor, whether by direct sampling with polymer patches, cotton gauze, etc., or indirect sampling with devices like Scent Transfer Unit. Then, analytical techniques are presented. Analyses are commonly performed with gas chromatography coupled with mass spectrometry. As they yield large amounts of data, advanced statistical tools are needed to provide efficient and reliable data processing, which is essential to give more probative value to information.