A case of mistaken identity : reconceptualizing the citizen in multicultural Canada
Bibliographic record
Abstract
As immigration continues to transform the ethno-racial composition of Canada, growing evidence of barriers to integration compels a re-evaluation of multiculturalism. Integration based on multicultural citizenship problematizes immigration by reproducing exclusionary nationalism and essentializing culturalism. The concept of citizenship preserves the myth of a national community although global issues manifest within national borders and local policies prioritize global capital. While multiculturalism implies cultural equality, the reality is a social hierarchy influenced by shifting identities resulting from migration and a constructed 'Canadianness' stemming from colonization. To replace the one-sided approach of immigrant obligation with mutual responsibility, integration must challenge the nationalist/culturalist tendencies of multicultural citizenship by reconceptualising the citizen from a critical transnational perspective that connects the local with the global. Therefore, this paper will present a revised concept of citizenship based on interdependency, which contradicts nationalism by localizing global inequality and challenges culturalism by globalizing local identities.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.101 | 0.073 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.005 | 0.024 |
| Research integrity | 0.010 | 0.017 |
| Insufficient payload (model declined to judge) | 0.002 | 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".