Framing Citizenship and Citizenship Formation for Preservice Teachers: A Critical Review of Prominent Trends in the Research Literature
Bibliographic record
Abstract
Funded by Thinking Historically for Canada's Future, a research partnership supported by the Social Sciences and Humanities Research Council of Canada, this article considers how, and the extent to which, contemporary research within the area of citizenship education for preservice teachers advances the creation of more genuinely democratic and socially just societies. Drawing on critical and anti-oppressive insights in education, we specifically examine themes, trends, and developments within research related to: (a) preservice teachers’ beliefs about citizenship, democracy, and related themes, and (b) the influence of pedagogical practices and program models on their citizenship dispositions and teaching practices. We conclude by offering a series of recommendations for future research and theorizing in the field of teacher education, including the need for studies that move away from deficiency-based research frames and expanded notions of citizenship beyond universalized liberal democratic understandings that currently dominate the field.
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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 | 0.021 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.013 | 0.017 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| 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".