Framing Exclusion in the Public Sphere: Far-Right Mobilisation and the Debate on Charlie Hebdo in Italy

While the January 2015 Paris terrorist attacks presented a crucial opportunity for far-right mobilisation, the focus on liberal democratic values and Charlie Hebdo’s non-conformist progressive profile presented challenges for right-wing discourse. Taking Italy as a paradigmatic case of public controversies on cultural and religious affairs, this article examines the opportunities and constraints generated by multicultural crises for far-right framing choices. A qualitative frame analysis analyses the discourse of three types of far-right actors. While the populist radical right, extreme right, and ultra-religious right groups disagree on crucial criteria for outgroup exclusion, they collectively employed the Charlie Hebdo controversy to redefine their exclusionary discourse on liberal grounds with the goal of gaining legitimacy in the mainstream public sphere.     

Public debt stabilization: the relevance of policymakers’ time horizons

Policymakers are stuck in time. Political short-termism, policy myopia, policy short-sightedness, and similar words have been coined to emphasize the present-centric policy thinking. Politics tends to produce short time horizons, and as a result, policymakers often fail to use present opportunities to mitigate future harms. Focusing on fiscal and monetary strategic interactions, given different separate decision makers, our paper aims to explore the effects of policymakers’ time horizons on debt stabilization. To formalize our ideas, we use the novel concept of Nonlinear-model-predictive-control Feedback Nash Equilibrium (NFNE) and find that present-centric policy thinking and decision horizons matters under several dimensions.     

Plurality versus proportional representation: An analysis of Sicilian elections

The competing merits of plurality and proportional representation have intrigued political economists and political scientists for quite some time. Of primary interest is whether one or the other system is better in serving the interests of the electorate. Since theoreticians are unable to unambiguously determine the answer to this question, the issue must ultimately be decided empirically. We use data from Sicilian elections, where the system was recently altered towards the system of plurality. We are able to demonstrate that the proportional representation system engenders greater information among voters and elicits greater commitment from them than plurality. We are also able to show that in larger towns increased information causes a more dispersed vote under a proportional representation system; further, this result does not hold under plurality. This may have some implications for the size of positional rents reaped by political parties under the two electoral systems.     

The strategic behavior of the Italian Left in a risk-sharing framework

The failure of the communist systems in Eastern Europe, the collapse of two of the main Italian political parties due to their massive involvement in the corruption scandal which exploded in the early 1990s, and the change of the electoral system from proportional representation to plurality, caused a major revolution in the Italian political landscape. Within this scenario old and new parties have been shaping their electoral and political strategies. In this paper our primary interest is to demonstrate that the apparently divergent policies supported by the two main parties of the Italian Left could hide a probable electoral strategy to grab the moderate Italian electorate and, hence, to capture the governing majority necessary to rule the country. This will be done through an economic model of risk-sharing applied to plurality maximizer parties.     

A quantitative differentiation method for plastic bags by infrared spectroscopy, thickness measurement and differential scanning calorimetry for tracing the source of illegal drugs

Fifty shopping bags, commonly encountered in the packaging of drug doses, were characterized by thickness measurements, infrared spectroscopy and differential scanning calorimetry. By these very straightforward and inexpensive techniques, without sample preparation, nearly all the considered samples could be discriminated. Ninety-seven percent of the possible pairs of white, apparently similar dull polymer films were differentiated. The rather large degree of variability existing in grocery bags, even though they are mass produced, was shown, confirming that these items can be useful in tracing the source of illicit drug doses.     

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.     

A study of DNA transfers onto plastic packets placed in personal bags

The ability to detect low level DNA brings with it the uncertainty of whether the detected DNA is a result of transfer. To address this uncertainty, a simulation study was conducted in which a mock illicit drug packet was placed into the personal bags of individuals. When the average transit time of the packets was increased from around 2 h to more than 14 h, the percentage of the DNA profiles recovered from the packets which could be attributed to the individuals increased greatly from 5.3% to 48.6%. We found that drug packers who were poor shedders could not be included as contributors to the DNA profiles from the drug packets at all and there was a higher chance that individuals other than themselves could be included as contributors to the DNA profile recovered from drug packets. We also found that it was equally likely that the drug packers who had direct contact with the drug packets and bag owners who did not, could be included as contributors to the DNA profiles recovered from the packets. The results in this study highlight the importance of taking into consideration the transit time of drug packet, the shedder status of the alleged packer and the history of an item, when evaluating DNA evidence in the context of illicit drug activities.     

A novel chitosan/tripolyphosphate/L‐lysine conjugates for latent fingerprints detection and enhancement

Most chemical and physical methods employed in visualizing latent marks have shown detrimental effects on human health and, therefore, some research groups have directed their attention to the utilization of various (bio)polymers with the aforementioned purpose. Although chitosan is widely used in medicine, pharmacy, food, and drug delivery systems, there are very few studies that address this biopolymer utilization in forensic applications, such as the detection of latent fingerprints. We used chitosan crosslinked with sodium tripolyphosphate and conjugated with L‐lysine to enhance the visualization of latent fingerprints, due to its ability to interact with fingerprint sweat residues. These conjugates were prepared using different (w/w) amounts of chitosan and tripolyphosphate (6/1; 4/1; 1/1; 1/4; and 1/6), and those with the most promising results (i.e., 6/1 formulation) were investigated in detail. Fourier transform infrared (FT‐IR) spectroscopy confirmed interactions between components of the systems. Optical microscopy and scanning electron microscope (SEM) analysis showed that prepared powder formulations were uniform in size and confirmed that chitosan/tripolyphosphate/lysine conjugates bind easily to the sweat and lipid residues present in the latent fingerprints. The testing of prepared conjugates demonstrated the potential of these systems as bio‐based powder substitution for commercially available powders.     

Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics

Lipstick can be an important piece of evidence in crimes like murders, rapes, and suicides. Due to its prevalence, it can be an important corroborative evidence in crime reconstruction. The analysis of such evidence can provide an evidentiary link between the suspect, the victim, object, or the crime scene. We report the use of nondestructive ATR-FTIR spectroscopy combined with chemometrics for the classification of 10 brands of lipsticks with nine samples each. Chemometric method of partial least square-discriminant analysis (PLS-DA) has been employed to interpret the data and classify the samples into their respective classes. The PLS-DA model provides an AUC figure above 0.99 in all brands except one; for which it is slightly less at 0.94. We have also tested the traces of these lipstick samples on different substrates treating them as unknowns in the already trained PLS-DA model. 100% of the samples on nine substrates viz. a cotton, nylon, plastic, dry tissue, denim (blue jeans), wet tissue, nitrile gloves, white paper, and polyester were correctly attributed to their source brand. In conclusion, the results suggest that ATR-FTIR combined with the chemometrics is a rapid, nondestructive, and accurate method for the discrimination and source attribution of lipstick. This study has potential for use in actual forensic casework conditions.     

How much should we trust crime statistics? A comparison between EU and US

We discuss measurement issues in crime rates in a cross-country comparative perspective. We show that while homicide and general crime rates follow quite similar patterns in the US this is not always the case in Europe. We provide an explanation of the observed patterns based on the use of fire harms.