Gouverner la « démocratie locale » urbaine. Comités de quartier et conseils de quartier à Marseille, Toulon et Nice

Coming out of a long period of collective fieldwork, this comparative sociohistorical analysis focuses on issues related to setting up neighborhood committees in the French cities of Marseille, Toulon and Nice. From the perspective of the political sociology of public action, attention is paid to changes in relations between municipal leaders and these committees. The Vaillant Act was passed in a local context where these committees had major legitimacy territorially and institutionally as well as in terms of civic leadership. However, the Act disputed this legitimacy by allowing political officials in these cities to redesign relations with “middlemen” and with civic leaders and persons involved in this “local democracy”. Local authorities exploited this possibility — sometimes upholding and sometimes objecting to the role played by political middlemen from nonprofit organizations.     

The impact of sociological orientation on pedagogy: A reconsideration of teacher training in sociology Ph.D. Departments

The emphasis in sociology Ph.D. programs continues to be on training researchers rather than teachers. This is a serious mistake, given the overwhelming proportion of students who go on to academic careers that require at least some time in the classroom. Departments that offer some type of graduate training in teaching focus almost exclusively on the students’ mastery of pedagogical strategies—tools, tips, and techniques for improving their instruction. But this approach neglects students’ assumptions about sociology as a discipline—or their sociological orientations—that underlie and inform their pedagogical choices. This paper explicates the relationship between sociological orientation and pedagogical practice, and asserts that graduate students need to consider their orientation to the discipline before stepping inside a classroom. This may be effectively accomplished through a required year-long seminar to be taken during the second year of graduate study. The first semester would be devoted to the issues, debates, and questions that currently characterize the discipline. The second would consider the “nuts and bolts” of teaching, and how pedagogical practice derives from sociological orientation. Students would also work as teaching assistants before, during, and after completing the seminar. They would then be required to teach at least one course of their choice before graduating. During this first teaching experience, each graduate student would work closely with a faculty mentor. An earlier version of this paper was presented at the 2003 annual meeting of the Eastern Sociological Society. I wish to thank Michael Lewis, Joya Misra, Afshan Jafar, Brian Kapitulik, and the editor of the American Sociologist for their help in improving this paper.     

The origins of the public debt of Italy: Geographically dispersed interests?

In this paper we reconstruct the macro regional government deficits of Italy and find that the aggregate deficit resulting from our estimates captures quite well the entire dynamics of the Italian national public deficit. This new data set shows that the ultimate cause of the accumulation of public debt of Italy lies in the extraordinary fiscal imbalance of the Southern regions. The new data allow us to test empirically a simple Common Pool model, augmented by a variable measuring the political influence of each macro region in the Government, to verify the existence of a geographically dispersed interests issue for the Italian case. Our measure of political influence turns out to significantly explain the regions’ deficits also when controlling for population and income gaps. In addition, using a J-test approach, we find that including the predictions of the Common Pool–Pork Barrel regional model into a general model of the Italian national deficit turns out to greatly increase its explanatory power. The results call for deep institutional reforms of the fiscal decentralization so far implemented in Italy.     

Microbiological and Modeling Approach to Derive Performance Objectives for Bacillus cereus Group in Ready‐to‐Eat Salads

In this article, the performance objectives (POs) for Bacillus cereus group (BC) in celery, cheese, and spelt added as ingredients in a ready‐to‐eat mixed spelt salad, packaged under modified atmosphere, were calculated using a Bayesian approach. In order to derive the POs, BC detection and enumeration were performed in nine lots of naturally contaminated ingredients and final product. Moreover, the impact of specific production steps on the BC contamination was quantified. Finally, a sampling plan to verify the ingredient lots' compliance with each PO value at a 95% confidence level (CL) was defined. To calculate the POs, detection results as well as results above the limit of detection but below the limit of quantification (i.e., censored data) were analyzed. The most probable distribution of the censored data was determined and two‐dimensional (2D) Monte Carlo simulations were performed. The PO values were calculated to meet a food safety objective of 4 log₁₀ cfu of BC for g of spelt salad at the time of consumption. When BC grows during storage between 0.90 and 1.90 log₁₀ cfu/g, the POs for BC in celery, cheese, and spelt ranged between 1.21 log₁₀ cfu/g for celery and 2.45 log₁₀ cfu/g for spelt. This article represents the first attempt to manage the concept of PO and 2D Monte Carlo simulation in the flow chart of a complex food matrix, including raw and cooked ingredients.     

Italian Adult Gambling Behavior: At Risk and Problem Gambler Profiles

The present study examined adult gambling behaviours from a local perspective in order to assess the adult at risk and problem gambler’s profile stratified by genre and by different forms of game. 4773 Italian adults from 18 to 94 years old were administered a survey to assess socio-cultural information related to gambling behaviour and the SOGS to evaluate gambling behaviour severity. Logistic regression evidenced that both at risk and problem gamblers are associated with male gender, players that use to play to more than one game, gambling with strategy-based games. People with a gambler father or both parents who used to gamble were significantly more associated with problem gambling behaviour than participants with non-gambler parents. These results present adult profiles of at risk and problem providing a more clear understanding about the relationships between gambling behavior severity and type of gambling.     

Gambling Disorder and Affect Regulation: The Role of Alexithymia and Attachment Style

The aim of the present study was to explore the dimensions of alexithymia and attachment styles in a group of disordered gamblers and to evaluate the relationship between alexithymia, attachment styles, and the severity of gambling disorder. Sixty disordered gamblers diagnosed according to the diagnostic and statistical manual-5 filled out the Kurzfragebogen zum Glücksspielverhalten, the 20-Item Toronto Alexithymia Scale, and the Experiences in Close Relationships-Revised. Approximately 70 % of the sample displayed ‘intermediate’ and ‘severe’ gambling severity levels on the Kurzfragebogen zum Glücksspielverhalten, and 77 % showed ‘high’ or ‘borderline’ levels of alexithymia on the Toronto Alexithymia Scale (mean = 56.40). Regarding attachment styles, 70 % of the sample displayed an ‘insecure’ attachment, with a particularly high prevalence of the ‘fearful’ style (26.66 %). A linear regression analysis revealed that only the anxiety dimension of the Experiences in Close Relationships questionnaire predicted the severity of gambling. Our data appear to confirm that gambling disorder is characterised by emotional and relational dysregulation, and that pathological gambling behaviours may serve as external regulators of internal undifferentiated emotional states.     

Asymptotic variance approximations for invariant estimators in uncertain asset-pricing models

This article derives explicit expressions for the asymptotic variances of the maximum likelihood and continuously-updated GMM estimators in models that may not satisfy the fundamental asset-pricing restrictions in population. The proposed misspecification-robust variance estimators allow the researcher to conduct valid inference on the model parameters even when the model is rejected by the data. While the results for the maximum likelihood estimator are only applicable to linear asset-pricing models, the asymptotic distribution of the continuously-updated GMM estimator is derived for general, possibly nonlinear, models. The large corrections in the asymptotic variances, that arise from explicitly incorporating model misspecification in the analysis, are illustrated using simulations and an empirical application.     

Further Results on the Limiting Distribution of GMM Sample Moment Conditions

In this article, we examine the limiting behavior of generalized method of moments (GMM) sample moment conditions and point out an important discontinuity that arises in their asymptotic distribution. We show that the part of the scaled sample moment conditions that gives rise to degeneracy in the asymptotic normal distribution is T-consistent and has a nonstandard limiting distribution. We derive the appropriate asymptotic (weighted chi-squared) distribution when this degeneracy occurs and show how to conduct asymptotically valid statistical inference. We also propose a new rank test that provides guidance on which (standard or nonstandard) asymptotic framework should be used for inference. The finite-sample properties of the proposed asymptotic approximation are demonstrated using simulated data from some popular asset pricing models.     

Promises and Pitfalls of Using Digital Traces for Demographic Research

The digital traces that we leave online are increasingly fruitful sources of data for social scientists, including those interested in demographic research. The collection and use of digital data also presents numerous statistical, computational, and ethical challenges, motivating the development of new research approaches to address these burgeoning issues. In this article, we argue that researchers with formal training in demography—those who have a history of developing innovative approaches to using challenging data—are well positioned to contribute to this area of work. We discuss the benefits and challenges of using digital trace data for social and demographic research, and we review examples of current demographic literature that creatively use digital trace data to study processes related to fertility, mortality, and migration. Focusing on Facebook data for advertisers—a novel “digital census” that has largely been untapped by demographers—we provide illustrative and empirical examples of how demographic researchers can manage issues such as bias and representation when using digital trace data. We conclude by offering our perspective on the road ahead regarding demography and its role in the data revolution.