Notice bibliographique
Résumé
My dissertation research is interdisciplinary in nature, at the nexus of three areas of scholarly work and actual practices: union renewal and non-unionized workers-rights organizing in Canada and the US; feminist, anti-racist Marxian approaches to class relations as being racialized, gendered and bureaucratic; and, the institutional ethnographic method of inquiry into social reality. My empirical focus is on the Ontario Minimum Wage Campaign (OMWC). The OMWC was a Toronto-based labour-community project to raise the minimum wage to $10 per hour. It was started in 2001 by Justice for Workers (J4W), was carried on by the Ontario Needs a Raise coalition (ONR) from 2003 to 2006, and was re-launched in 2007 by the Toronto and York Region Labour Council (TYRLC) in association with some community groups. The OMWC brought together across time and space activist groups, community agencies and labour organizations, all of whose volunteers, members, clients, educators, officials and staff were the agents and/or targets of the campaign. The apparent victory of the OMWC is quite contested. Local campaign realities were compartmentalized in numerous ways and OMWC involvement met different institutionally specific and coordinated needs. And while coalitions generally arise as vehicles to transcend such institutional separation, the campaign was challenged to materially bridge such compartmentalization. The fragmentation of reality amongst institutions and how it was managed in practice affected how collaboration, participation, and decision-making happened and appeared to have happened in organizing and educational activities. While there were at times transformative intentions, there was generally a pragmatic anti-racist organizing practice and effect. I contend that the complexity of contemporary society poses great challenges for the possibilities for human-agency based labour-community workers-rights organizing with a broad-based, political capacity for movement building orientation. I suggest that this is largely so because the social coordination of what we do and what we understand about what we do turns on at least three components of social reality: an institution-based organization of multi-layered social relations that is generally locally circumscribed but extralocally driven; a conditioned individually-driven orientation to meeting human needs; and an ideological orientation to both the content of ideas and thought, and the process of that reasoning.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».