La participation des consommateurs à la construction de l'autorité des normes internationales : vers une économie politique internationale de la traduction

Cette thèse explore les implications politiques de la montée en puissance des normes internationales sur nos sociétés contemporaines et pose la problématique des dynamiques participatives des représentants des consommateurs au sein des formes de pouvoir non étatique à l'aide du cas de l'Organisation internationale de normalisation (ISO). Le renforcement du pouvoir des normes internationales et autres spécifications techniques soulève d'importants enjeux démocratiques qui portent aussi bien sur la représentativité des acteurs qui les élaborent, sur l'articulation des prérogatives publiques et privées dans la gouvernance de la mondialisation, que sur le rôle de l'expertise dans la reconnaissance de ces nouvelles formes de pouvoir. La participation du monde associatif intervient sur ces différents enjeux de manière complexe. Cette recherche s'inscrit à la suite des études en relations internationales/économie politique internationale sur les formes d'autorité non étatique et s'inspire du concept de traduction issu de la sociologie des sciences et techniques pour mettre en lumière le rôle des spécifications techniques dans la construction d'une société de consommation centrée sur la liberté de choix et la façon dont les associations de consommateurs se saisissent des arènes de normalisation pour y faire valoir des préoccupations collectives, leur expertise et leur identité. Cette thèse défend l'idée que les consommateurs participent à la construction de l'autorité des normes internationales par leur rôle dans la traduction qui permet de relier les spécifications techniques au fonctionnement des marchés, au cadre réglementaire de la loi et aux préoccupations sociétales. L'analyse repose sur une observation ethnographique des délibérations d'un comité technique de l'ISO, une recherche-­‐action, la réalisation d'entretiens et la consultation de documents d'archives de l'ISO. -- This thesis explores the political significance of the rise of international standards on contemporary societies and questions the participatory dynamics of consumers' representatives within nonstate forms of power, using the case of the International organization for standardization (ISO). The power granted to international standards and other technical specifications raises important democratic issues regarding the representativity of standard-­‐ writers, the public-­‐private relationships involved in this form of governance or the expertise sustaining the recognition of such new forms of power. The participation of civil society associations affect such issues in complex ways. This research relies on international relations/international political economy approaches of nonstate authority and takes inspiration from the concept of translation developed by science and technology studies to highlight the crucial role played by technical specifications in building a consumer society based on the freedom of choice as well as how consumers' associations take stock of standardization arenas to promote collective issues and claim their expertise and identity. This thesis argues that consumers contribute to the construction of the authority of international standards through their role in the translation that links international standards to the market society, the regulatory state as well as to societal preoccupation. The analysis is based on an ethnographic observation of deliberations within an ISO technical committee, a research-­‐action, interviews as well as on the consultation of ISO archives.

Relevé des consultations et des transferts de patients par enquête directe auprès des médecins: méthode d'une enquête, acceptabilité et limites d'interprétation. [Summary of consultations and transfer of patients by a direct survey of physicians: survey methods, acceptability and limits of interpretation].

A survey of medical ambulatory practice was carried out in February-March 1981 in the two Swiss cantons of Vaud and Fribourg (total population: 700,000), in which 205 physicians participated. The methodology used was inspired from the U.S. National Ambulatory Medical Care Survey, the data collection instrument of which was adapted to our conditions; in addition, data were gathered on all referrals prescribed by 154 physicians during two weeks. (The instruments used are presented.) The potential and limits of this type of survey are discussed, as well as the representativity of the participating physicians and of the recorded visits, which are a systematic sample of over 43,000 visits.

Using register data to assess the impact of response enhancement methods on the risk of nonresponse bias and survey costs

The pursuit of high response rates to minimise the threat of nonresponse bias continues to dominate decisions about resource allocation in survey research. Yet a growing body of research has begun to question this practice. In this study, we use previously unavailable data from a new sampling frame based on population registers to assess the value of different methods designed to increase response rates on the European Social Survey in Switzerland. Using sampling data provides information about both respondents and nonrespondents, making it possible to examine how changes in response rates resulting from the use of different fieldwork methods relate to changes in the composition and representativeness of the responding sample. We compute an R-indicator to assess representativity with respect to the sampling register variables, and find little improvement in the sample composition as response rates increase. We then examine the impact of response rate increases on the risk of nonresponse bias based on Maximal Absolute Bias (MAB), and coefficients of variation between subgroup response rates, alongside the associated costs of different types of fieldwork effort. The results show that increases in response rate help to reduce MAB, while only small but important improvements to sample representativity are gained by varying the type of effort. These findings lend further support to research that has called into question the value of extensive investment in procedures aimed at reaching response rate targets and the need for more tailored fieldwork strategies aimed both at reducing survey costs and minimising the risk of bias.

Environmental data mining and modeling based on machine learning algorithms and geostatistics

The paper presents some contemporary approaches to spatial environmental data analysis. The main topics are concentrated on the decision-oriented problems of environmental spatial data mining and modeling: valorization and representativity of data with the help of exploratory data analysis, spatial predictions, probabilistic and risk mapping, development and application of conditional stochastic simulation models. The innovative part of the paper presents integrated/hybrid model-machine learning (ML) residuals sequential simulations-MLRSS. The models are based on multilayer perceptron and support vector regression ML algorithms used for modeling long-range spatial trends and sequential simulations of the residuals. NIL algorithms deliver non-linear solution for the spatial non-stationary problems, which are difficult for geostatistical approach. Geostatistical tools (variography) are used to characterize performance of ML algorithms, by analyzing quality and quantity of the spatially structured information extracted from data with ML algorithms. Sequential simulations provide efficient assessment of uncertainty and spatial variability. Case study from the Chernobyl fallouts illustrates the performance of the proposed model. It is shown that probability mapping, provided by the combination of ML data driven and geostatistical model based approaches, can be efficiently used in decision-making process. (C) 2003 Elsevier Ltd. All rights reserved.

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The quality of environmental data analysis and propagation of errors are heavily affected by the representativity of the initial sampling design [CRE 93, DEU 97, KAN 04a, LEN 06, MUL07]. Geostatistical methods such as kriging are related to field samples, whose spatial distribution is crucial for the correct detection of the phenomena. Literature about the design of environmental monitoring networks (MN) is widespread and several interesting books have recently been published [GRU 06, LEN 06, MUL 07] in order to clarify the basic principles of spatial sampling design (monitoring networks optimization) based on Support Vector Machines was proposed. Nonetheless, modelers often receive real data coming from environmental monitoring networks that suffer from problems of non-homogenity (clustering). Clustering can be related to the preferential sampling or to the impossibility of reaching certain regions.