Interrogating Race and Racism/Race, Racialization and Antiracism in Canada and Beyond/Racial Profiling in Canada: Challenging the Myth of 'A Few Bad Apples'
Notice bibliographique
Résumé
Vijay Agnew (ed.), Interrogating Race and Racism (Toronto: University of Toronto Press, 2007), x + 417pp. Cased. £48. ISBN 978-0-8020-9356-1. Paper. £22.50. ISBN 978-0- 8020-9509-1. Genevieve Fuji Johnson and Randy Enomoto (eds), Race, Racialization and Antiracism in Canada and Beyond (Toronto: University of Toronto Press, 2007), xiii + 252pp. Paper. £22.50. ISBN 978-0-8020-9504-6. Carol Tator and Frances Henry, Racial Profiling in Canada: Challenging the Myth of 'a Few Bad Apples' (Toronto: University of Toronto Press, 2006), 304pp. Cased. £48. ISBN 978-0-8020-8714-0. Paper. £22.50. ISBN 978-0-8020-8666-2. There is agreement within these three books that racism persists in Canada, particularly in what are described as subtle forms, despite anti-racist initiatives and formal commitments to equality by the Canadian state. Two of these books are collections of papers with multidisciplinary approaches that cover a wide range of Canadian institutions and which include some comparative material. The third is mainly about policing in Toronto in a critical analysis that focuses on the discourse and practices of racialisation and its consequences. The main emphasis of the collection edited by Vijay Agnew is contemporary racism, explored through analysis of topics such as immigration law, citizenship, inequalities and discrimination in the workplace and racial profiling. Agnew introduces the collection by emphasising the social construction of racism and providing an interpretation of key concepts, including racism, which 'is not merely a set of attitudes, but finds expression in ... practices, institutions, and structures' (p. 13), racialisation and whiteness. The first of the book's four sections focuses upon immigration. Peter Li opens this section with an exploration of discourse about race, drawing out apparent inconsistencies in opinion polls and illustrating ways in which encoding may disguise reference to race. Sharryn Aiken employs a critical race perspective to examine immigration law and policy, questioning whether it challenges or perpetuates systemic racism. The greater part of section two is based upon studies of income inequalities, making use of census and immigration data. Pendakur and Pendakur employ econometric methods to analyse differentials in earnings from 1971 to 1996, taking account of gender, Aboriginal status and visible minority status as key variables. Wang and Lo summarise data on Chinese immigrants, considering language expertise and education levels as factors affecting income levels. These authors draw attention to persistent income inequalities associated with Aboriginal and visible minority status. Themes of national identity are explored in section three with Charles C. Smith writing about racial profiling in Canada, Ezra Yoo-Hyeok Lee focusing upon the treatment of Japanese-Americans and Arab-Americans, and Robin Ostow discussing the Jewish museums in Berlin. The final section returns to issues of identity. This includes a discussion by Agnew of gender and diversity in two Royal Commission reports about women and a study of the experiences of African migrants to Vancouver by Gillian Creese. The final chapter is based upon the transcript of an interview of Frances Henry by Vijay Agnew. Framed by an introduction that refers to identity, boundaries and marginality, this interview reveals some of the intersections of personal experience, academic work and policy development in Frances Henry's distinguished career. It concludes with some comments about change in the justice system, in human rights and elsewhere within Canadian society: 'Generally there is a much greater awareness and acceptance that racism exists. Things are changing, albeit slowly' (p. 411). The collection edited by Genevieve Fuji Johnson and Randy Enomoto is focused upon systemic racism in areas such as education, work, media and urban planning. The dozen chapters in this book are based upon papers presented at a conference entitled 'End Racism! …
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,013 |
| Études des sciences et des technologies | 0,019 | 0,023 |
| Communication savante | 0,013 | 0,006 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».