Covering Multiculturalism: Popular Images and the Politics of a Nation as Reflected on the Covers of Maclean’s and L’Actualité
Bibliographic record
Abstract
How have images of immigration and multiculturalism been depicted on Canadian magazine covers and what do they say about the national politics of immigration and multiculturalism? A discursive and visual analysis of the covers and articles in Maclean’s (from January, 1960 to May, 2006), and to a lesser extent in L’Actualité (from 1976 to May 2006), reveals a dualistic pattern depicting multicultural and immigrant representations as either the successful, contributing, and model “other” or the threatening, oppositional, and problematic “other.” Our analysis goes beyond this binarism and exposes the intersections of age, class, status, sexuality, and racialization as integral to the multicultural context. Yet, as a concept, multiculturalism has not necessarily been evident in the public and media imaginary of Canada. Quelles sont les images véhiculées par les couvertures de revues canadiennes sur l’immigration et le multiculturalisme et que disentelles à propos des politiques nationales sur ces questions? Une analyse discursive et visuelle des couvertures et des textes de Maclean’s (de janvier 1960 à mai 2006) et, à un moindre degré, de L’Actualité (de 1976 à mai 2006) révèlent un motif dualistique des représentations multiculturelles et immigrantes en tant qu’un «autre» présenté soit comme un modèle de contribution sociale et de succès, soit comme une menace, une opposition et un prob-lème. Notre analyse va au-delà de ce binarisme et met en lumière l’interconnection de la classe, du statut social, de la sexualité et de la racialisation comme faisant partie intégrante du contexte multiculturel. Cependant, au Canada, le multiculturalisme n’est pas un concept évident dans l’imaginaire public ni dans celui des médias.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".