Citizens of Tomorrow, Today: Political Futurity and Youth Citizenship in a High School Student Council
Bibliographic record
Abstract
Student councils are ubiquitous in North American high schools, and yet, they are often overlooked as a site of youth citizenship and student leadership. This dissertation explores the affective dimensions of youth citizenship and student leadership, focusing on a student council in an urban high school in Canada. Based on a 15-month ethnography, the dissertation claims that affective orientations toward politics and young people are often at odds with the developmental and relational realities of being a young person. Through analysis of participant observations, interview transcripts, and texts, the study draws attention to the way that the relationships that structure schooling circumscribe young peoples citizenship and leadership. Drawing on theories of affect and political theory, the study focuses on three areas toward which the young people in the studys political lives were oriented: infantile citizenship (Berlant, 1997), authority and political conflict, and happy diversity (Ahmed, 2012). The dissertation concludes with a call for educators, policy-makers, and scholars interested in childhood and youth to consider the political and affective conditions that propel impulses to improve upon young peoples enactment of citizenship in terms of the attachment to the promise of young peoples political futurity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".