(Re)creating citizenship: Saskatchewan high school students’ understandings of the ‘good’ citizen
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Citizenship education is of central importance in curriculum and schooling, as evidenced by the proliferation of research and writing in the area over the last 20 years. Building on existing citizenship literature, this paper discusses one aspect of a larger project exploring the ways in which citizenship is discursively produced in officially mandated school curriculum and the ways in which students themselves understand and take up narratives of ‘good’ citizenship in light of their diverse experiences and social locations. Using an image-based approach to research, students visually represented and then discussed with researchers their perceptions of good citizenship. What became apparent through the analysis of images and focus group transcripts was the ease with which students, regardless of their social locations, reproduced commonsense narratives of ‘good’ citizenship, including socially sanctioned concern for the environment, a sense of nationalism and national pride, respect for relationships and a communal ethos, and the official discourse of multiculturalism. Missing from students’ understandings of ‘good’ citizenship was any kind of social analysis, suggesting that they largely accepted citizenship as universally realized and experienced by individuals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it