A common ground between liberalism and multiculturalism? : addressing citizenship and Canadian identity in British Columbia’s social studies curriculum
Bibliographic record
Abstract
Public schooling has long been considered a venue where society has a say in the development of its citizens. Citizenship in Canada, however, is contested territory. Throughout Canadian history, the country has faced questions of who belongs as part of the nation, and the rise of multiculturalism as federal policy has only seen these questions grow. In light of this, it is worth considering the way citizenship has been, and continues to be, constructed in our schools. This is especially the case with a new curriculum entering our schools. In this paper, I consider liberal and multicultural theory, the history of multiculturalism in Canada, and then focus teaching of History and Social Studies has evolved in Canada over time. Finally, I will examine the nature of citizenship as constructed in British Columbia’s Social Studies curriculum at the fourth, fifth, and sixth grade levels, in both the 2006 and the 2015 curriculum documents.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.006 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".