“From Mosaic To Multiversality”: Repriming Multicultural Governance in a Postnational Canada
Bibliographic record
Abstract
The modernist politics of multicultural governance no longer resonate with authority in a postmulticultural era. Mosaic models of state multiculturalism are being contested by the changing nature of global transmigration and the proliferation of immigrant-driven differences. This paper argues that the transnational politics of multiversality in a globalizing and diversifying Canada are exerting pressure to rethink the limits of a “mosaic” multiculturalism (Mawani 2008; also Shome 2012). A “multiversal” multiculturalism is proposed instead as an alternative governance model for living together with a diversity-of-diversities (“multiversality”) across shifting and intersecting contexts (Latham 2007/08; Vertovec 2010; Ramadan 2011). The paper concludes by exploring whether Canada can move beyond a mosaic multiculturalism whose tendency to conflate cultures into a singular commonality papers over transmigrant identities and intrasecting differences. Time will tell if Canada is ready for a multicultural 2.0 governance in advancing a framework that ensures differentiated differences are kept safe from—yet safe for—a postnational Canada (Sandercock 2003; also Parekh 2005). La politique moderniste de gouvernance multiculturelle n’est plus en harmonie avec l’autorité dans une période post-multiculturelle. La mosaïque du multiculturalisme d’état propose un modèle mis à mal par la nature changeante de la transmigration mondiale et la prolifération de différences due à l’immigration. Dans cet article, nous soutenons que la politique transnationale de multiversatilité dans un Canada qui se mondialise et se diversifie, exerce une pression pour repenser les limites d’un multiculturalisme de ‘mosaïque’ (Mawani 2008 et Shome 2012), ou ‘multiversel’. Ce qui est proposé à la place, c’est un modèle alternatif de gouvernance pour vivre ensemble dans une diversité-des-diversités (‘multiversalité’), qui englobe des contextes changeants et croisés (Latham (2007/2008, Vertovec 2010 et Ramadan 2011). En conclusion, nous examinons si le Canada peut dépasser un multiculturalisme de mosaïque dont la tendance à assembler des cultures dans une standardisation unique masque des identités trans-migrantes et des différences croisées. Le temps dira si le Canada est prêt à promouvoir une gouvernance multiculturelle 2.0 structurée pour assurer que la différenciation des différences soit protégée de – et néanmoins pour – un avenir post-national (Sandercock 2003; aussi Parekh 2005).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".