¿Quién es un ciudadano activo y qué roles desempeña en la vida democrática? Una experiencia de educación cívica ciudadana en Canadá
Bibliographic record
Abstract
Although educating active citizen who participate in civic and political life is a fundamental goal of education, in general, and of citizenship education, in particular, there are very few empirical studies that inform us how the school educates for this purpose. This study, conducted in three Civics classrooms in Ontario, Canada, investigates how teachers prepare their students for active citizenship. Drawing on citizenship theories and an examination of citizenship pedagogy through observations of class instruction and interviews with teachers and students, the results of the study reveal that teachers’ understandings of what constitutes active citizenship greatly influence how they educate for active citizenship. I detail three distinct understandings of active citizenship that are advanced through class instruction: the duty-based, the make-a-difference and the politically-oriented active citizenship. The article discusses important implications that these differing understandings and pedagogical approaches have as they delineate different expectations and paths for youth citizenship participation in public life.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.038 | 0.011 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".