Vocabularies of Citizenship: West Coast Secondary Students Describe Their Civic Subjectivities, Skills, and Classrooms
Bibliographic record
Abstract
Canada’s changing geopolitical landscape will require a generation of engaged and active citizens. Citizenship education in British Columbia must negotiate conflicting narratives while opening spaces for students to develop civic skills and subjectivities. Given negative program reviews, empirical evidence for the impact of identity - especially group identifications - on behaviours and beliefs, and continued low youth political engagement, there is a great need to understand how citizenship and civic subjectivities are constructed in real school contexts in order to gain insight into how secondary civics classrooms might support students’ active political voices and development of efficacious subjectivities. This article reports preliminary results from a large mixed methods, multiple-case study project. The data reported here focuses on students (n = 64) from two purposefully sampled secondary school classrooms on Vancouver Island: a special civics program, and a regular stream Social Studies classroom in the same school. Data collection consisted of a class-wide online survey near the beginning of the course. Grounded in the larger understandings of social identity theory and rooted cosmopolitanism, qualitative data from open-ended questionnaire responses analyzed with a constant comparative coding technique explored the extent to which students construct regional, national, or global notions of citizenship. A preliminary report of quantitative items investigates the level of conflict present between levels of identification and suggests avenues for future research. Examined against previous research and the theory of rooted cosmopolitanism, this project aims to question the popular narrative of youth apathy and to describe the ways in which students characterize their civic subjectivities. In giving voice to student perspectives on their civic selves and their Civics classrooms, this study aims to contribute to more representative classrooms and pedagogies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".