Time and process: An operational framework for processual analysis. - HAL-SHS - Sciences de l'Homme et de la Société Accéder directement au contenu
Article Dans Une Revue European Sociological Review Année : 2012

Time and process: An operational framework for processual analysis.

Résumé

Most social phenomena are processes, and like all processes they 'take time'. However, the dynamic aspects of such phenomena are not always taken seriously in the social sciences. Many scholars agree that objects in which the time dimension is present should be subjected to processual analysis. Nevertheless, it is seldom the case that specific methods are either theoretically constructed or explicitly put into practice. Against this background, the purpose of this article is to take up the challenge of theorising processes. It will seek to develop a set of conceptual tools based on a linkage between time and the changes observed in the phenomena under investigation. It is based on four key concepts: the ingredients derived from the context, the sequences, the driving forces, and the turning points. The precise definition of each of these concepts ensues from a number of theoretical debates that remain isolated from each other. In this paper, such approaches are enriched through the association of these four concepts within an integrated analytical framework that gives meaning to processes by shedding light on the combination of elements and dynamics on which they are based.
Fichier principal
Vignette du fichier
2013_ProcessualAnalysis_ESR_AuthorsVersion.pdf (605.47 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

halshs-00724031 , version 1 (23-11-2016)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Claire Bidart, Maria Eugenia Longo, Ariel Mendez. Time and process: An operational framework for processual analysis.. European Sociological Review, 2012, 29 (4), pp.743-751 ⟨10.1093/esr/jcs053⟩. ⟨halshs-00724031⟩

Collections

CNRS UNIV-AMU LEST
291 Consultations
477 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More