Notice bibliographique
Résumé
The angry Parisians that gathered on the ramparts of the Bastille on that fateful day of July 1789 were unlikely to own mobile phones; nor had they enjoyed many chances, in the weeks leading up to the big event, of being updated on developments by bloggers or twitters.Still, they made it there.And they made it in sufficient numbers, with sufficient unity and commitment, to start what can be safely regarded as a quite successful and impactful mobilization.Of course, had they been able to rely on contemporary technologies, they would have assembled more quickly, and probably in greater numbers; but so would have, presumably, the tanks and helicopters of good king Luis.Should we then conclude that technologies be irrelevant to the making of 'revolutions' (as well as, more broadly, of sustained challenges to powerholders)?Or -more specifically -that they made no difference to the evolution of the events that took, and are still taking, place in most North African and Middle East countries since January 2011?Of course not (for one thing, communication technology -in that case, printed media -actually DID play a major role even in the development of modern social movements: Tarrow 2011, ch.3).But perhaps we should remember that technologies do not make collective action.Men and women do.They do so, it goes without saying, within the context of their times.But this is not a purely -nor a mainly -technological context.It is at best a multidimensional context, in which technology interacts with other factors to shape patterns of collective action.Among those factor are certainly the relational settings in which protesters are embedded, and which are at the same time created or re-shaped by the unfolding of collective action (Diani and McAdam 2003).Media scholar Ramesh Srinivasan ( 2011) is very much along the same lines when he writes, in reference to the recent Egyptian uprisings: ''By fixating on technologies and the few youth that actively use them, we ignore a much more powerful narrative -the story of how synergies are created between classes to mobilize as a network without depending on social media.In Egypt, these networks may include family connections, neighborhoods, mosques, and historical institutions, such as the previously banned Muslim Brotherhood.New technologies hardly erode or overwhelm these classic models of communication and information sharing.''Srinivasan's perspective is a welcome warning against an overly technological view of the Arab spring.At the same time, it would be misleading to frame current discussions on the role of ICT in recent protests (or collective phenomena at large, e.g. the August 2011 riots in England) as a conventional polarization between technology 'skeptics' and 'enthusiasts'.1 I am grateful to Claudia Padovani for her insights on the role of social media in mobilization processes.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,009 |
| Communication savante | 0,017 | 0,021 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,056 | 0,010 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».