Youth voices on global citizenship: Deliberating across Canada in an online invited space
Bibliographic record
Abstract
This article examines the processes of youth engagement in an 'invited space' for Canadian secondary school students. The organizers created a participatory citizenship education space in which Canadian students discussed their views and visions and developed their policy position on global citizenship and global citizenship education. The content and process of The National Youth White Paper on Global Citizenship (2015) demonstrated that youth have important policy knowledge and understand they live in a globalized world that includes unacceptable inequalities and oppressions. They also understand that, through acts of citizenship, these conditions can be changed. The article discusses how students were engaged in developing public opinion and working in the public sphere while developing the policy paper on the topic of global citizenship.
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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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.059 | 0.019 |
| Scholarly communication | 0.017 | 0.004 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".