Building a Conservative Nation: An Examination of Canada’s New Citizenship Guide, Discover Canada: an Examination of Canada’s New Citizenship Guide, "Discover Canada"
Bibliographic record
Abstract
EnglishIn 2009, the Conservative government announced that its new citizenship guide, Discover Canada, would replace the previous guide that had been in place since 1995. Using a discourse analysis, this article assesses the nation-building strategies employed by the Conservative government in this new guide. The central argument is that Discover Canada advances a version of the Canadian nation tied to socially and economically conservative values as well as law and order issues. This neo-conservative national identity has important implications for national belonging and membership not only for prospective citizens to Canada, but also for Canada’s historical national minorities, including Quebec and Aboriginal peoples. francaisEn 2009, le gouvernement conservateur a annonce son nouveau guide de la citoyennete, Decouvrir le Canada, lequel remplacerait le precedent guide en place depuis 1995. En utilisant une analyse du discours, cette etude evalue les strategies de renforcement de la nation employees par le gouvernement conservateur dans ce nouveau guide. L’argument central est que Decouvrir le Canada est une version de la nation canadienne attachee a des valeurs socialement et economiquement conservatrices ainsi que des questions d’ordre public. Cette identite nationale neo-conservatrice a des implications importantes pour l’appartenance nationale et l’adhesion non seulement pour les citoyens eventuels au Canada, mais aussi pour les minorites nationales historiques du Canada, y compris les peuples quebecois et autochtones
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.055 | 0.023 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".