Le travail du vote ; Le travail du vote: La socialisation politique au et par le travail chez les moyens et petits-moyens

International audience ; Socioeconomic status is everywhere. Work, nowhere. This is the observation when we read electoral studies. Socio-professional categories are in fact widely used - and are among the main statistical variables - in the enigma that drives this type of study: "who votes for whom".A rustic but central variable in the lines of analysis of a scholarly or journalistic electoral chronicle, the socio-professional categories encompass the professions in a certain way but provide little information on the specific reality of each of them. Of course, socialization and socialization through work nevertheless constitute a dimension of social experience whose effects are known. Practicing this or that profession places individuals on a daily and lasting basis in a unique type of environment, in the sense that the institutional frameworks, both material and relational, but also the missions for which they are responsible are anchored in environments which are both socially and spatially located and which are characterized by specific styles of interactions.In electoral analyses, "social class" or "professional category" is also used as an explanatory (or even predictive) factor of voting or participation. However, the effects of socio-professional status and its correlates (levels of autonomy and income, social prestige, being independent or employed, etc.) on voting are largely presupposed and too little explored in reality. Essentially, ultimately, the way socio-professional status produces preferences and voting alignments remains a black box in electoral studies. It is precisely this enigma that is explored here, by studying professional experiences as a matrix of political dispositions and the relationship to voting. ; Dans l’analyse électorale, la catégorie socioprofessionnelle est partout, le travail nulle part – ou presque. Les groupements socioprofessionnels comptent en effet parmi les principales variables utilisées dans la construction des agrégats statistiques ayant des effets électoraux ou, ...