THE CONTRIBUTION OF CULTURAL THEORY TO UNDERSTANDING THE EMBEDDEDNESS OF ARGUMENTS IN THE IMPLEMENTATION PROCESS

The aim of this article is to explore the contribution of cultural theory to understanding the embeddedness of arguments in the implementation process. The application of cultural theory to studies of implementation entails investigating the implementation of reforms as different normative arguments pursuing different organizational solutions. Institutional theory posits that implementation of reforms in organizations depends on how well the values defending the reform match the basic values of the organization. Cultural theory contributes to institutional theory in two ways: firstly, cultural theory is an instrument for investigating the values that defend the reform; secondly, cultural theory posits that an organization consists of more than one value base. Consequently, cultural theory does not offer a fixed prediction concerning the outcome of implementation.     

Applying the capability approach to policy-making: The impact assessment of the EU-proposal on organ donation

We show that the capability approach can greatly facilitate ex ante policy evaluations, in particular those that are geared towards multiple goals. It enables a structured discussion on policy benefits, distributional issues, freedom and ethics. We illustrate our general ideas with a real-world application: the impact assessment of an EU-proposal on organ donation.     

Decompartmentalizing the sociology of activist commitment. A critical survey of some recent trends in French research

This article is a critical survey of a field of research that for 20 years has been particularly active in France and is once again gaining momentum: the sociology of activist commitment. An outcome of this sociological current was the inter-actionist paradigm, i.e. how activists’ careers are embarked upon and evolve. The notion of how to reward activism has been refined and reconsidered. Theoretical debates relating to the surfacing – or not – of “new forms” of activism – or even “new activists” – are replaced in perspective and the two challenges that confront research today stressed. Both concern the social division of labor: how to account more thoroughly for the link between macro-social transformations and individual commitment, on one hand, how organizations are instrumental in formatting activism, on the other.     

Experiments with truth. A sociological variation on William James's Varieties of Religious Experience

William James's Varieties of Religious Experience is a classic psycho‐philosophical study of the experience of the sacred and of its practical effects on the ordinary life of extraordinary persons. In a pragmatic variation of Kant's proof of god's existence, James uses personal accounts of converts to empirically demonstrate that there's “something” that has causal effects on the well‐being of the person. While the article is largely sympathetic to James explorations of the mystical, it offers a sociological variation on the Varieties that foregrounds the social, cultural and political aspects of religion.     

Inequality decomposition values: the trade-off between marginality and efficiency

This paper presents a general procedure for decomposing income inequality measures by income sources. The methods of decomposition proposed are based on the Shapley value and extensions of the Shapley value of transferable utility cooperative games. In particular, we find that Owen’s value can find an interesting application in this context.We show that the axiomatization by the potential of Hart and Mas-Colell remains valid in the presence of the domain restriction of inequality indices. We also examine the properties of these decomposition rules and perform a comparison with Shorrocks’ decomposition rule properties.     

Mean estimation with data missing at random for functional covariables

In a missing-data setting, we want to estimate the mean of a scalar outcome, based on a sample in which an explanatory variable is observed for every subject while responses are missing by happenstance for some of them. We consider two kinds of estimates of the mean response when the explanatory variable is functional. One is based on the average of the predicted values and the second one is a functional adaptation of the Horvitz–Thompson estimator. We show that the infinite dimensionality of the problem does not affect the rates of convergence by stating that the estimates are root-n consistent, under missing at random (MAR) assumption. These asymptotic features are completed by simulated experiments illustrating the easiness of implementation and the good behaviour on finite sample sizes of the method. This is the first paper emphasizing that the insensitiveness of averaged estimates, well known in multivariate non-parametric statistics, remains true for an infinite-dimensional covariable. In this sense, this work opens the way for various other results of this kind in functional data analysis.     

Hard evidence and ambiguity aversion

This article shows that if an allocation rule can be implemented with unlimited information certification, then it can also be implemented with limited information certification if the designer can use ambiguous communication mechanisms, and if agents are averse to ambiguity in the sense of maxmin expected utility. The reverse implication is true if there is a single agent and a worst outcome.     

Impact of physical activity and sedentary behaviour on fall risks in older people: a systematic review and meta-analysis of observational studies

The objective of this work was to summarise and evaluate the evidence showing that physical activity is a protector factor as regards falls in older people. Relevant studies were identified through a systematic search in the MEDLINE and Cochrane Library, under the keywords of accidental fall/numerical data and risk factors, and with the bibliographies of retrieved papers. The combined odds ratio (OR) [95% confidence interval] for physical activity was 0.75 [0.64, 0.88] with moderate heterogeneity (I ²?=?33%). For fall injury, it was 0.59 [0.47, 0.74] and, for falls in general, it rose to 0.94 [0.76, 1.17] with nil heterogeneity. The combined OR for sedentary factors was 1.14 [1.10, 1.82] with moderate heterogeneity (I ²?=?36%). Regular physical activity in daily life yields significant reduction in falls in older people, especially falls with injuries.     

Inferring an Augmented Bayesian Network to Confront a Complex Quantitative Microbial Risk Assessment Model with Durability Studies: Application to Bacillus Cereus on a Courgette Purée Production Chain

The Monte Carlo (MC) simulation approach is traditionally used in food safety risk assessment to study quantitative microbial risk assessment (QMRA) models. When experimental data are available, performing Bayesian inference is a good alternative approach that allows backward calculation in a stochastic QMRA model to update the experts’ knowledge about the microbial dynamics of a given food‐borne pathogen. In this article, we propose a complex example where Bayesian inference is applied to a high‐dimensional second‐order QMRA model. The case study is a farm‐to‐fork QMRA model considering genetic diversity of Bacillus cereus in a cooked, pasteurized, and chilled courgette purée. Experimental data are Bacillus cereus concentrations measured in packages of courgette purées stored at different time‐temperature profiles after pasteurization. To perform a Bayesian inference, we first built an augmented Bayesian network by linking a second‐order QMRA model to the available contamination data. We then ran a Markov chain Monte Carlo (MCMC) algorithm to update all the unknown concentrations and unknown quantities of the augmented model. About 25% of the prior beliefs are strongly updated, leading to a reduction in uncertainty. Some updates interestingly question the QMRA model.